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Complete DataScience with Python and Tensorflow

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Complete DataScience with Python and Tensorflow

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
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