✓ 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
Nishant Srivastava has created 1 courses that got 57 reviews which are generally positive. Nishant Srivastava has taught 322 students and received a 3.5 average review out of 57 reviews. Depending on the information available, we think that Nishant Srivastava is an instructor that you can trust.
