Complete DataScience with Python and Tensorflow

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Complete DataScience with Python and Tensorflow, Learn about machine learning, deep learning, text analytics using python and tensorflow

Created by Nishant Srivastava

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What you'll learn

• Learn about the basics of python as a language: basic syntax, data structure in python ,conditional statements and loops , expression and operators, Functions
• Learn about essential Python libraries for data science/ analysis e.g. Pandas, Matplotlib, Numpy
• Learn to do exploratory data analysis in Python
• Learn how to deal with categorical variables, numerical variables
• Learn about missing value analysis, outlier analysis, feature transformation etc.
• Learn about basics of machine learning : supervised/ unsupervised, regression/ classification, metrics used for regression and classification
• Learn about popular machine learning algorithms (Keep an eye on this section, this will be updated as per demand)
• Learn how decision tree, association rule, naive bayes etc. works by building them from scratch in excel (don't worry if you are not familiar with excel, everything will be explained)
• Learn how to handle text data. Learn about NLTK : Tokenization, Lemmatization etc. Learn about regex. Learn about bag of words and TF-IDF approach. Build a text classification Model
• Learn about the basics of TensorFlow
• Learn about Artifical Neural Network, Convolutional Neural Network and Recurrent Neural Network and implement it on MNIST data set