├── .DS_Store ├── .gitignore ├── Classification ├── Classification with Logistic Regression.ipynb ├── Classification | Decision Tree.ipynb ├── Classification | GBM.ipynb ├── Classification | KNN.ipynb ├── Classification | LGBM.ipynb ├── Classification | Naive Bayes.ipynb ├── Classification | Random Forest.ipynb ├── Classification | XGBoost.ipynb ├── Classification.ipynb ├── diabetes.csv ├── lgbm_tuned.pkl └── titanic_dataset.csv ├── Computer Vision └── OpenCV │ ├── Opening Camera and Saving a Video.py │ ├── README.md │ ├── Reading Videos using OpenCV.py │ └── images │ ├── Lesswork App.mp4.zip │ ├── friends.jpeg │ ├── london.jpeg │ └── video_file.mp4 ├── Conditional Statements.ipynb ├── Data Preprocessing.ipynb ├── Data Structures.ipynb ├── Deep Learning with Pytorch - A complete Beginner Tutorial.ipynb ├── Functions.ipynb ├── Introduction to Python.ipynb ├── Linear Regression.ipynb ├── Loops.ipynb ├── Model Deployment ├── Model Deployment with Joblib.ipynb ├── ann_final_model.pkl ├── column_names.pkl └── diabetes.csv ├── Natural Language Processing ├── Natural Language Proccessing Series 1- String Essentials.ipynb ├── Natural Language Proccessing Series 2- Text Preprocessing.ipynb ├── Natural Language Proccessing Series 3- Object Standardization and Linguistic Features.ipynb └── README.md ├── Nested Functions.ipynb ├── Non-Linear Models - Regression.ipynb ├── Numpy.ipynb ├── Object Oriented Programming.ipynb ├── Pandas .ipynb ├── README.md ├── Random_Forests.ipynb ├── Reinforcement Learning ├── Reinforcement Learning.ipynb └── Reinforcement Learning.key ├── Starter.ipynb ├── Unsupervised Learning - Clustering - Principal Components Analysis(PCA) ├── CIA_Country_Facts.csv ├── CIA_Country_Facts_Example.ipynb ├── Mall_Customers.csv ├── README.md ├── Unsupervised Learning - Clustering.ipynb ├── bank_marketing_dataset.csv ├── cancer_tumor_data_features.csv ├── cluster_moons.csv ├── cluster_mpg.csv ├── palm_trees.jpg └── wholesome_customers_data.csv ├── 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