├── 01. Day 1 - Python Basics ├── decision_making.ipynb └── loops.ipynb ├── 02. Day 2 - Functions and Modules ├── functions.ipynb └── high_functions.ipynb ├── 03. Day 3 - Built-in Data Structures ├── dictionary.ipynb ├── list_compre.ipynb ├── lists.ipynb ├── set.ipynb └── tuple.ipynb ├── 04. Day 4 - File Handling and Exception Handling ├── exceptions.ipynb ├── file.ipynb ├── file.txt ├── geek.txt ├── new_file.txt ├── other_file.txt ├── others │ └── geek.txt └── write.txt ├── 05. Day 5 - Python Classes and Objects ├── Python Classes Handwritten Notes.pdf └── classes.ipynb ├── 06. Day 6 - OOPs Concepts Implementation in Python ├── OOPs Implementation in Python.pdf └── classes.ipynb ├── 07. Day 7 - Advanced Topics ├── RegEx Handwritten Notes.pdf ├── high_functions.ipynb ├── list_compre.ipynb └── regex.ipynb ├── 08. Day 8 - Python MySQL ├── Python MySQL Database Notes.pdf └── db.ipynb ├── 09. Day 9 - Day 1 of Project └── bank_mangment │ ├── Account.py │ ├── Customer.py │ ├── Transaction.py │ ├── __pycache__ │ ├── Account.cpython-311.pyc │ ├── Customer.cpython-311.pyc │ ├── Transaction.cpython-311.pyc │ └── db_conn.cpython-311.pyc │ ├── bank.py │ ├── bank_db.py │ ├── db_ER_diagram.pdf │ └── db_conn.py ├── 10. Day 10 - Day 2 of Project ├── Account.py ├── Account_menu.py ├── Customer.py ├── New_Menu.py ├── README.md ├── Transaction.py ├── __pycache__ │ ├── Account.cpython-311.pyc │ ├── Customer.cpython-311.pyc │ ├── New_Menu.cpython-311.pyc │ ├── Transaction.cpython-311.pyc │ ├── create_account.cpython-311.pyc │ ├── create_customer.cpython-311.pyc │ ├── cust_login.cpython-311.pyc │ └── db_conn.cpython-311.pyc ├── a.py ├── bank.py ├── bank_db.py ├── create_account.py ├── create_customer.py ├── cust_login.py └── db_conn.py ├── 11. Day 11 - Project Completion ├── Account.py ├── Account_menu.py ├── Customer.py ├── Errors.py ├── New_Menu.py ├── Transaction.py ├── Transfer.py ├── __pycache__ │ ├── Account.cpython-311.pyc │ ├── Account_menu.cpython-311.pyc │ ├── Customer.cpython-311.pyc │ ├── Errors.cpython-311.pyc │ ├── New_Menu.cpython-311.pyc │ ├── Transaction.cpython-311.pyc │ ├── Transfer.cpython-311.pyc │ ├── create_account.cpython-311.pyc │ ├── create_customer.cpython-311.pyc │ ├── cust_login.cpython-311.pyc │ └── db_conn.cpython-311.pyc ├── bank.py ├── bank_db.py ├── create_account.py ├── create_customer.py ├── cust_login.py └── db_conn.py ├── 12. Day 12 - NumPy Basics ├── numpy.ipynb └── numpy_notes.pdf ├── 13. Day 13 - Numpy Math Operations ├── numpy_math_oper.ipynb └── numpy_math_operations.pdf ├── 14. Day 14 - NumPy Statistic Functions ├── Statistic_functions_Notes.pdf └── numpy_stat_func.ipynb ├── 15. Day 15 - (1-8-23) Pandas Introduction ├── Housing.csv ├── Pandas_intro_Notes.pdf ├── df_csv.csv ├── df_html.html ├── df_json.json └── pandas_intro.ipynb ├── 16. Day 16 - Pandas Data Manipulation ├── Pandas_Data_Manipulation_Notes.pdf └── data_manipulation.ipynb ├── 17. Day 17 - Pandas Data Cleaning ├── Data Cleaning Notes.pdf └── pandas_cleaning.ipynb ├── 18. Day 18 - Pandas Time Series, Feature Engg ├── COVID_19_Containment_measures_data.csv ├── Feature_engg_Time_series_note.pdf ├── IRIS.csv ├── covid_data.csv └── pandas_time_series.ipynb ├── 19. Day 19 - Matplotlib Intro ├── MatplotLib Intro.pdf └── matplotlib_info.ipynb ├── 20. Day 20 - Matplotlib - Scatter and Histogram ├── matplotlib scatter hist notes.pdf └── matplotlib_scatter_hist.ipynb ├── 21. Day 21 - Seaborn Intro ├── Seaborn Intro Notes.pdf └── seaborn_intro.ipynb ├── 22. Day 22 - Seaborn Visualization ├── seaborn visualization notes.pdf └── seaborn_visualization.ipynb ├── 23. Day 23 - Python Basics Revision └── Python Fundamentals Handwritten Notes.pdf ├── 24. Day 24 - NumPy Revision └── NumPy Revision Handwritten Notes.pdf ├── 25. Day 25 - Pandas Revision └── Pandas Revision Handwritten Notes.pdf ├── 26. Day 26 - AI and ML Fundamentals ├── AI and ML Fundamentals Notes.pdf ├── ML.webp └── README.md ├── 27. Day 27 - ML Workflow ├── Machine_Learning_Workflow.pdf ├── Machine_Learning_Workflow_page-0001.jpg └── README.md ├── 28. Day 28 - Model Evaluation Technique ├── README.md └── evaluation.png ├── 29. Day 29 - Overfitting and Underfitting ├── Overfitting_Underfitting_Notes.pdf └── over_under_fit.ipynb ├── 30. Day 30 - Simple Linear Regression ├── README.md ├── SLR Implementation.jpg ├── Simple Linear Regression Notes .pdf ├── Simple Linear Regression.pdf ├── download.png └── linearregrsalaryprediction.ipynb ├── 31. Day 31 - Multiple Linear Regression ├── MLR Implementation.jpg ├── Multiple Linear Regression Notes.pdf ├── README.md └── multiple-linear-regression-student-persormance.ipynb ├── 32. Day 32 - Classification in ML └── Classification in ML.pdf ├── 33. Day 33 - Logistic Regression ├── Logistic Regression Notes .pdf ├── LogisticRegressionIRIS.ipynb └── logistic-regression-titanic.ipynb ├── 34. Day 34 - Decision Tree Concept └── Decision Tree Handwritten Notes.pdf ├── 35. Day 35 - Decision Tree Implementation ├── Decision Tree Implementation.pdf ├── Decision Tree Implementation_page-0001.jpg ├── README.md ├── decisiontreeiris.ipynb └── decisiontreeredwine.ipynb ├── 36. Day 36 - Ensemble Methods ├── New Text Document.txt └── README.md ├── 37. Day 37 - Gradient Boosting └── README.md ├── 38. Day 38 - AdaBoost and XGBoost └── README.md ├── 39. Day 39 - Random Forests Introduction └── README.md ├── 40. Day 40 - Random Forests Implementation ├── Hyperparameter Tuning.pdf ├── HyperparameterRandomForestRedWine.ipynb ├── Random Forest Implementation.pdf ├── Random Forest Implementation_page.jpg ├── RandomForestClassifierIRIS.ipynb └── RandomForestRedWine.ipynb ├── 41. Day 41 - Decision Tree and Random Forest Example └── decision-tree-random-forest-social-network-ads.ipynb ├── 42. Day 42 - SVM Intro └── SVM Introduction.pdf ├── 43. Day 43 - Linear and Non-Linear SVM Implementation ├── SVM Implementation.pdf ├── linear-svm-social-network-ads.ipynb └── non-linear-svm-iris-flower.ipynb ├── 44. Day 44 - SVM Regression Implementation ├── svm-regression-boston-house-pricing.ipynb └── svm-regression-salary-dataset.ipynb ├── 45. Day 45 - KNN Introduction └── KNN Introduction Notes.pdf ├── 46. Day 46 - (1 Sept 2023) KNN Implementation ├── KNN Classification Steps.jpg ├── KNN Regression Steps.jpg ├── README.md ├── knn-classification-iris-flower.ipynb ├── knn-classification-mushroom-classification.ipynb ├── knn-regression-salary-dataset.ipynb └── knn-regression-student-performance-prediction.ipynb ├── 47. Day 47 - KNN Hyperparameter Tuning ├── README.md ├── knn-clf-bmi-classification-hyperparameter.ipynb └── knn-regr-house-price-prediction-hyperparameter.ipynb ├── 48. Day 48 - ML Fundamentals Revision ├── ML Fundamentals Revision Notes.pdf └── Types of Supervised Learning Algo_page-0001.jpg ├── 49. Day 49 - Capstone Project - 5G Resources - MLR, SVR, KNN_R ├── 5g-quality-of-service-all-regression-algorithms.ipynb ├── 5g-quality-of-service-all-regression-algorithms.pdf └── compare_MLR_SVR_KNN.png ├── 50. Day 50 - Capstone Project - Gender Classification - LR, DT, RF, SVM and KNN ├── Compare_LR_DT_RF_SVM_KNN.png ├── gender-classification-lr-dt-rf-svm-and-knn.ipynb └── gender-classification-lr-dt-rf-svm-and-knn.pdf ├── 51. Day 51 - Intro to Cross Validation └── Cross Validation Notes.pdf ├── 52. Day 52 - Cross Validation Implementation ├── k-fold-cross-validation.ipynb └── stratified-k-fold-cross-validation.ipynb ├── 53. Day 53 - Perform EDA Operation ├── eda-on-fifa19-dataset.ipynb ├── eda-on-restaurant-dataset.ipynb └── eda-on-walmart-sales-dataset.ipynb ├── 54. Day 54 - Dimensionality Reduction Intro ├── Dimensionality Reduction Techniques.pdf ├── Dimensionality Reduction Techniques_pages-to-jpg-0001.jpg └── Dimensionality Reduction.pdf ├── 55. Day 55 - Intro to PCA ├── PCA Intro Notes.pdf └── README.md ├── 56. Day 56 - Step in PCA ├── README.md ├── Steps in PCA Notes.pdf ├── covar.svg ├── eig1.svg ├── eig2.svg └── eig3.svg ├── 57. Day 57 - PCA Solved Example └── PCA Solved Example.pdf ├── 58. Day 58 - PCA Implementation ├── PCA.pdf └── principal-component-analysis.ipynb ├── 59. Day 59 - Feature Selection Intro ├── Feature Selection.pdf └── Feature selection.png ├── 60. Day 60 - Feature Selection - Filter Methods ├── Filter Methods.pdf └── feature-selection-filter-methods.ipynb ├── 61. Day 61 - Feature Selection - Wrapper Methods └── Wrapper Methods.pdf ├── 62. Day 62 - Feature Selection - Embedded Methods └── Embedded Methods Feature Selection.pdf ├── 63. Day 63 - EDA on IPL Dataset └── ipl-all-time-best-batsman.ipynb ├── 64. Day 64 - Used Car Price Prediction using SVR ├── used-car-price-prediction-svr.ipynb └── used-car-price-prediction-svr.pdf ├── 65. Day 65 - Movies Recommendation ├── movie-recommendation-with-gridsearch.ipynb └── movie-recommendation-with-gridsearch.pdf ├── 66. Day 66 - SLR on Insurance Dataset ├── slr-notebook.ipynb └── slr-notebook.pdf ├── 67. Day 67 - Linear Regression Salary Dataset ├── salary-dataset-of-busssiness.ipynb └── salary-dataset-of-busssiness.pdf ├── 68. Day 68 - EDA on Gym Exercise Dataset ├── gym-exercises-eda.ipynb └── gym-exercises-eda.pdf ├── 69. Day 69 - EDA on Life Expectations Dataset ├── life-expectancy-eda.ipynb └── life-expectancy-eda.pdf ├── 70. Day 70 - EDA on Student Dropout ├── predict-student-s-drop.ipynb └── predict-student-s-drop.pdf ├── 71. Day 71 - Intro to Clustering └── Clustering Intro.pdf ├── 72. Day 72 - Clustering Algorithms └── Clustering Algorithm.pdf ├── 73. Day 73 - K-means Implementation ├── k-means-customer-clustering.ipynb └── k-means-customer-clustering.pdf ├── 74. Day 74 - K-Means Credit Card Clustering ├── k-means-credit-card-clustering.ipynb └── k-means-credit-card-clustering.pdf ├── 75. Day 75 - Visualize Clusters Exercise ├── results.png ├── visualize-clustering-exercises.ipynb └── visualize-clustering-exercises.pdf ├── 76. Day 76 - Hierarchical Clustering ├── online-retail-k-means-hierarchical-clustering.ipynb └── online-retail-k-means-hierarchical-clustering.pdf ├── 77. Day 77 - Hierarchical Clustering └── Hierarchical clustering.pdf ├── README.md └── data_science.jpg /01. Day 1 - Python Basics/decision_making.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/01. Day 1 - Python Basics/decision_making.ipynb -------------------------------------------------------------------------------- /01. Day 1 - Python Basics/loops.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/01. Day 1 - Python Basics/loops.ipynb -------------------------------------------------------------------------------- /02. 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Ensemble Methods

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Gadient Boosting

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Random Forests

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Day 46 - (1 Sept 2023) KNN Implementation/knn-classification-mushroom-classification.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/46. Day 46 - (1 Sept 2023) KNN Implementation/knn-classification-mushroom-classification.ipynb -------------------------------------------------------------------------------- /46. Day 46 - (1 Sept 2023) KNN Implementation/knn-regression-salary-dataset.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/46. Day 46 - (1 Sept 2023) KNN Implementation/knn-regression-salary-dataset.ipynb -------------------------------------------------------------------------------- /46. 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Day 47 - KNN Hyperparameter Tuning/knn-clf-bmi-classification-hyperparameter.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/47. Day 47 - KNN Hyperparameter Tuning/knn-clf-bmi-classification-hyperparameter.ipynb -------------------------------------------------------------------------------- /47. Day 47 - KNN Hyperparameter Tuning/knn-regr-house-price-prediction-hyperparameter.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/47. Day 47 - KNN Hyperparameter Tuning/knn-regr-house-price-prediction-hyperparameter.ipynb -------------------------------------------------------------------------------- /48. Day 48 - ML Fundamentals Revision/ML Fundamentals Revision Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/48. Day 48 - ML Fundamentals Revision/ML Fundamentals Revision Notes.pdf -------------------------------------------------------------------------------- /48. Day 48 - ML Fundamentals Revision/Types of Supervised Learning Algo_page-0001.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/48. Day 48 - ML Fundamentals Revision/Types of Supervised Learning Algo_page-0001.jpg -------------------------------------------------------------------------------- /49. Day 49 - Capstone Project - 5G Resources - MLR, SVR, KNN_R/5g-quality-of-service-all-regression-algorithms.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/49. Day 49 - Capstone Project - 5G Resources - MLR, SVR, KNN_R/5g-quality-of-service-all-regression-algorithms.ipynb -------------------------------------------------------------------------------- /49. Day 49 - Capstone Project - 5G Resources - MLR, SVR, KNN_R/5g-quality-of-service-all-regression-algorithms.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/49. Day 49 - Capstone Project - 5G Resources - MLR, SVR, KNN_R/5g-quality-of-service-all-regression-algorithms.pdf -------------------------------------------------------------------------------- /49. Day 49 - Capstone Project - 5G Resources - MLR, SVR, KNN_R/compare_MLR_SVR_KNN.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/49. Day 49 - Capstone Project - 5G Resources - MLR, SVR, KNN_R/compare_MLR_SVR_KNN.png -------------------------------------------------------------------------------- /50. Day 50 - Capstone Project - Gender Classification - LR, DT, RF, SVM and KNN/Compare_LR_DT_RF_SVM_KNN.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/50. Day 50 - Capstone Project - Gender Classification - LR, DT, RF, SVM and KNN/Compare_LR_DT_RF_SVM_KNN.png -------------------------------------------------------------------------------- /50. Day 50 - Capstone Project - Gender Classification - LR, DT, RF, SVM and KNN/gender-classification-lr-dt-rf-svm-and-knn.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/50. Day 50 - Capstone Project - Gender Classification - LR, DT, RF, SVM and KNN/gender-classification-lr-dt-rf-svm-and-knn.ipynb -------------------------------------------------------------------------------- /50. Day 50 - Capstone Project - Gender Classification - LR, DT, RF, SVM and KNN/gender-classification-lr-dt-rf-svm-and-knn.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/50. Day 50 - Capstone Project - Gender Classification - LR, DT, RF, SVM and KNN/gender-classification-lr-dt-rf-svm-and-knn.pdf -------------------------------------------------------------------------------- /51. Day 51 - Intro to Cross Validation/Cross Validation Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/51. Day 51 - Intro to Cross Validation/Cross Validation Notes.pdf -------------------------------------------------------------------------------- /52. Day 52 - Cross Validation Implementation/k-fold-cross-validation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/52. Day 52 - Cross Validation Implementation/k-fold-cross-validation.ipynb -------------------------------------------------------------------------------- /52. Day 52 - Cross Validation Implementation/stratified-k-fold-cross-validation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/52. Day 52 - Cross Validation Implementation/stratified-k-fold-cross-validation.ipynb -------------------------------------------------------------------------------- /53. Day 53 - Perform EDA Operation/eda-on-fifa19-dataset.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/53. Day 53 - Perform EDA Operation/eda-on-fifa19-dataset.ipynb -------------------------------------------------------------------------------- /53. Day 53 - Perform EDA Operation/eda-on-restaurant-dataset.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/53. Day 53 - Perform EDA Operation/eda-on-restaurant-dataset.ipynb -------------------------------------------------------------------------------- /53. Day 53 - Perform EDA Operation/eda-on-walmart-sales-dataset.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/53. Day 53 - Perform EDA Operation/eda-on-walmart-sales-dataset.ipynb -------------------------------------------------------------------------------- /54. Day 54 - Dimensionality Reduction Intro/Dimensionality Reduction Techniques.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/54. Day 54 - Dimensionality Reduction Intro/Dimensionality Reduction Techniques.pdf -------------------------------------------------------------------------------- /54. Day 54 - Dimensionality Reduction Intro/Dimensionality Reduction Techniques_pages-to-jpg-0001.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/54. Day 54 - Dimensionality Reduction Intro/Dimensionality Reduction Techniques_pages-to-jpg-0001.jpg -------------------------------------------------------------------------------- /54. Day 54 - Dimensionality Reduction Intro/Dimensionality Reduction.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/54. Day 54 - Dimensionality Reduction Intro/Dimensionality Reduction.pdf -------------------------------------------------------------------------------- /55. Day 55 - Intro to PCA/PCA Intro Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/55. Day 55 - Intro to PCA/PCA Intro Notes.pdf -------------------------------------------------------------------------------- /55. Day 55 - Intro to PCA/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/55. 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Day 58 - PCA Implementation/principal-component-analysis.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/58. Day 58 - PCA Implementation/principal-component-analysis.ipynb -------------------------------------------------------------------------------- /59. Day 59 - Feature Selection Intro/Feature Selection.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/59. Day 59 - Feature Selection Intro/Feature Selection.pdf -------------------------------------------------------------------------------- /59. Day 59 - Feature Selection Intro/Feature selection.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/59. 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Day 61 - Feature Selection - Wrapper Methods/Wrapper Methods.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/61. Day 61 - Feature Selection - Wrapper Methods/Wrapper Methods.pdf -------------------------------------------------------------------------------- /62. Day 62 - Feature Selection - Embedded Methods/Embedded Methods Feature Selection.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/62. Day 62 - Feature Selection - Embedded Methods/Embedded Methods Feature Selection.pdf -------------------------------------------------------------------------------- /63. Day 63 - EDA on IPL Dataset/ipl-all-time-best-batsman.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/63. Day 63 - EDA on IPL Dataset/ipl-all-time-best-batsman.ipynb -------------------------------------------------------------------------------- /64. Day 64 - Used Car Price Prediction using SVR/used-car-price-prediction-svr.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/64. Day 64 - Used Car Price Prediction using SVR/used-car-price-prediction-svr.ipynb -------------------------------------------------------------------------------- /64. Day 64 - Used Car Price Prediction using SVR/used-car-price-prediction-svr.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/64. Day 64 - Used Car Price Prediction using SVR/used-car-price-prediction-svr.pdf -------------------------------------------------------------------------------- /65. Day 65 - Movies Recommendation/movie-recommendation-with-gridsearch.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/65. Day 65 - Movies Recommendation/movie-recommendation-with-gridsearch.ipynb -------------------------------------------------------------------------------- /65. Day 65 - Movies Recommendation/movie-recommendation-with-gridsearch.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/65. Day 65 - Movies Recommendation/movie-recommendation-with-gridsearch.pdf -------------------------------------------------------------------------------- /66. Day 66 - SLR on Insurance Dataset/slr-notebook.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/66. Day 66 - SLR on Insurance Dataset/slr-notebook.ipynb -------------------------------------------------------------------------------- /66. Day 66 - SLR on Insurance Dataset/slr-notebook.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/66. Day 66 - SLR on Insurance Dataset/slr-notebook.pdf -------------------------------------------------------------------------------- /67. Day 67 - Linear Regression Salary Dataset/salary-dataset-of-busssiness.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/67. Day 67 - Linear Regression Salary Dataset/salary-dataset-of-busssiness.ipynb -------------------------------------------------------------------------------- /67. Day 67 - Linear Regression Salary Dataset/salary-dataset-of-busssiness.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/67. Day 67 - Linear Regression Salary Dataset/salary-dataset-of-busssiness.pdf -------------------------------------------------------------------------------- /68. Day 68 - EDA on Gym Exercise Dataset/gym-exercises-eda.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/68. Day 68 - EDA on Gym Exercise Dataset/gym-exercises-eda.ipynb -------------------------------------------------------------------------------- /68. Day 68 - EDA on Gym Exercise Dataset/gym-exercises-eda.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/68. Day 68 - EDA on Gym Exercise Dataset/gym-exercises-eda.pdf -------------------------------------------------------------------------------- /69. Day 69 - EDA on Life Expectations Dataset/life-expectancy-eda.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/69. 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Day 70 - EDA on Student Dropout/predict-student-s-drop.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/70. Day 70 - EDA on Student Dropout/predict-student-s-drop.pdf -------------------------------------------------------------------------------- /71. Day 71 - Intro to Clustering/Clustering Intro.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/71. Day 71 - Intro to Clustering/Clustering Intro.pdf -------------------------------------------------------------------------------- /72. Day 72 - Clustering Algorithms/Clustering Algorithm.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/72. 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Day 74 - K-Means Credit Card Clustering/k-means-credit-card-clustering.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/74. Day 74 - K-Means Credit Card Clustering/k-means-credit-card-clustering.ipynb -------------------------------------------------------------------------------- /74. Day 74 - K-Means Credit Card Clustering/k-means-credit-card-clustering.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/74. Day 74 - K-Means Credit Card Clustering/k-means-credit-card-clustering.pdf -------------------------------------------------------------------------------- /75. Day 75 - Visualize Clusters Exercise/results.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/75. Day 75 - Visualize Clusters Exercise/results.png -------------------------------------------------------------------------------- /75. Day 75 - Visualize Clusters Exercise/visualize-clustering-exercises.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/75. Day 75 - Visualize Clusters Exercise/visualize-clustering-exercises.ipynb -------------------------------------------------------------------------------- /75. Day 75 - Visualize Clusters Exercise/visualize-clustering-exercises.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/100-Days-of-Code-Data-Science/HEAD/75. 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