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Data Preprocessing Steps for Machine Learning & Data analytics
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Data Analytics with Python
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- 1 Data Analytics with Python (Course Introduction)
- 2 Learn Python in 10 minutes
- 3 Numpy and Matplotlib Tutorial
- 4 Pandas Tutorial - Python
- 5 Data Preprocessing Steps for Machine Learning & Data analytics
- 6 Machine Learning for Data Analytics Intro
- 7 SkLearn Linear Regression (Housing Prices Example)
- 8 Sklearn Random Forest Classifier (Digit Recognition Example)
- 9 SKlearn PCA, SVD Dimensionality Reduction
- 10 Machine Learning with Text - Count Vectorizer Sklearn (Spam Filtering example Part 1 )
- 11 Machine Learning with Text - TFIDF Vectorizer MultinomialNB Sklearn (Spam Filtering example Part 2)
- 12 Bias Variance Trade off
- 13 Activation Functions in Neural Networks (Sigmoid, ReLU, tanh, softmax)
- 14 Perceptron and Gradient Descent Algorithm - Scikit learn
- 15 Neural Networks and Backpropogation Scikit learn
- 16 Ensemble Learning, Bootstrap Aggregating (Bagging) and Boosting
- 17 Scikit Learn Ensemble Learning, Bootstrap Aggregating (Bagging) and Boosting
- 18 Twitter live sentiment Analysis Tutorial in Python - Tweepy and TextBlob
