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Define Goal : PRODUCTS or ALGORITHMS
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Linear Algebra (Matrix, Vector)
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Statistics
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Probability
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Numpy
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Pandas
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Supervised vs Unsupervised vs Reinforcement
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Linear RegressionDefine Goal : PRODUCTS or ALGORITHMS
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Linear Algebra (Matrix, Vector)
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Statistics
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Probability
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Numpy
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Pandas
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Supervised vs Unsupervised vs Reinforcement
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Linear Regression, Logistic Regression, Clustering
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KNN (K Nearest Neighbours)
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SVM (Support Vector Machine)
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Decision Trees
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Random Forests
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Overfitting, Underfitting
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Regularization, Gradient Descent, Slope
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Confusion Matrix
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Handling Null Values
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Standardization
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Handling Categorical Values
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One-Hot Encoding
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Feature Scaling
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Scikit learn
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Matplotlib
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Tensorflow for DL