Complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks

What youll learn:

✔ Build artificial neural networks with Tensorflow and Keras
✔ Classify images, data, and sentiments using deep learning
✔ Make predictions using linear regression, polynomial regression, and multivariate regression
✔ Data Visualization with MatPlotLib and Seaborn
✔ Implement machine learning at massive scale with Apache Sparks MLLib
✔ Understand reinforcement learning - and how to build a Pac-Man bot
✔ Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
✔ Use train/test and K-Fold cross validation to choose and tune your models
✔ Build a movie recommender system using item-based and user-based collaborative filtering
✔ Clean your input data to remove outliers
✔ Design and evaluate A/B tests using T-Tests and P-Values

Note:
This course will be sent via Google Drive.
Please provide us with your Gmail after payment.
Thank you.

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