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## Naive Bayes Classifier and Black Box Machine Learning | Day 15
Learned about diffrent types of naive bayes classifer also started the lectures by [Bloomberg](https://bloomberg.github.io/foml/#home). first one in the playlist was Black Box Machine Learning. It gave the whole over view about prediction functions, feature extraction, learning algorithms, performance evaluation, cross-validation, sample bias, nonstationarity, overfitting, and hyperparameter tuning.
## Implemented SVM using Kernel Trick | Day 16
Using Scikit-Learn library implemented SVM algorithm along with kernel function which maps our data points into higher dimension to find optimal hyperplane.
## Started Deep learning Specialization on Coursera | Day 17
Completed the whole Week 1 and Week 2 on a single day. Learned Logistic regression as Neural Network.
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