├── Books ├── 5_6059921653171749166.pdf ├── 5_6073385336262623663.pdf ├── 5_6147636778120512241.pdf ├── 5_6230816464849338624(1).pdf ├── 5_6235320064476709059.pdf ├── 5_6237965940424704221.pdf ├── 5_6319014417136615798.pdf ├── An introduction to statistical learning.pdf ├── File ├── Practical Statistics for Data Scientists.pdf ├── Python-for-Data-Analysis-2nd-Edition.pdf ├── basics of Linear Algebra.pdf ├── beyond basic statistics.pdf ├── ml_performance_improvement_cheatsheet.pdf └── probability_stats_for_DS.pdf ├── Day 1 : Python ├── Day 10 : Statistics ├── Day 11: Statistics : Dimensionality reduction, PCA ├── Day 12: ML and AI Introduction ├── Day 13: EDA Techniques ├── Day 14: T SNE ├── Day 15: Calculus ├── Day 16: Performance Metrics ├── Day 17 : Kaggle Time ├── Day 18: Gradient Descent ├── Day 19: Linear Regression ├── Day 2 : Python ├── Day 20 : Lasso and Ridge Regression ├── Day 21 : L1 and L2 regularizer ├── Day 22 : Logistic Regression ├── Day 23 : HyperParameters ├── Day 24 : KNN ├── Day 25 : Outliers ├── Day 26 : Categorical Features ├── Day 3 : Numpy ├── Day 4 : Pandas ├── Day 5 : Scipy ├── Day 6: MatplotLib ├── Day 7: SKlearn ├── Day 8 : Linear Algebra ├── Day 9 : Linear Algebra └── README.md /Books/5_6059921653171749166.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Books/5_6059921653171749166.pdf -------------------------------------------------------------------------------- /Books/5_6073385336262623663.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Books/5_6073385336262623663.pdf -------------------------------------------------------------------------------- /Books/5_6147636778120512241.pdf: -------------------------------------------------------------------------------- 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https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 1 : Python -------------------------------------------------------------------------------- /Day 10 : Statistics: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 10 : Statistics -------------------------------------------------------------------------------- /Day 11: Statistics : Dimensionality reduction, PCA: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 11: Statistics : Dimensionality reduction, PCA -------------------------------------------------------------------------------- /Day 12: ML and AI Introduction: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 12: ML and AI Introduction 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https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 16: Performance Metrics -------------------------------------------------------------------------------- /Day 17 : Kaggle Time: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 17 : Kaggle Time -------------------------------------------------------------------------------- /Day 18: Gradient Descent: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 18: Gradient Descent -------------------------------------------------------------------------------- /Day 19: Linear Regression: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 19: Linear Regression -------------------------------------------------------------------------------- /Day 2 : Python: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 2 : Python -------------------------------------------------------------------------------- /Day 20 : Lasso and Ridge Regression: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 20 : Lasso and Ridge Regression -------------------------------------------------------------------------------- /Day 21 : L1 and L2 regularizer: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 21 : L1 and L2 regularizer -------------------------------------------------------------------------------- /Day 22 : Logistic Regression: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 22 : Logistic Regression -------------------------------------------------------------------------------- /Day 23 : HyperParameters: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 23 : HyperParameters -------------------------------------------------------------------------------- /Day 24 : KNN: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 24 : KNN -------------------------------------------------------------------------------- /Day 25 : Outliers: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aaditree/100-days-of-ML/HEAD/Day 25 : Outliers -------------------------------------------------------------------------------- /Day 26 : Categorical Features: 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