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1. Primers Primers Public

   Review of NumPy, Pandas, Matplotlib, Probability, and Statistics

   Jupyter Notebook 1

2. Machine-Learning-Models Machine-Learning-Models Public

   knn, Regression (LASSO, Ridge), Logistic, Principal component Analysis (PCA), Discriminant Analysis (LDA, QDA), Trees, Random Forest, Boosting

   Jupyter Notebook 2

3. Web-scraping-and-data-prep Web-scraping-and-data-prep Public

   Use of Beautiful soup to scrap data from couple of websites and perform exploratory analysis

   Jupyter Notebook 1

4. Neural-Networks-Intro Neural-Networks-Intro Public

   Simple first principles models on neural network concepts. Models include perceptron, gradient descent, back propagation, and applying keras and Tensors on datasets.

   Jupyter Notebook 1

5. Coursera---Deep-Learning-Specialization Coursera---Deep-Learning-Specialization Public

   Modeling Neural Networks from first principles

   Jupyter Notebook 1

6. Data-Structures-and-Algorithms Data-Structures-and-Algorithms Public

   Overview of data structures and algorithms

   Jupyter Notebook 1