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• 40 videos to take you from beginner to machine learning engineer
• Learn meaning of variable and data types in Python
• Learn how to declare and initialize variable in Python
• Converting string to integer and integer to string in Python
• Create list in Python and appending to a list
• Create Numpy array, one dimensional Array and to convert one dimensional Array to two dimensional Array
• Write condition statement in Python
• Learn to use loop for performing iterating activity
• Perform simple operations on dataset using Python
• Understand meaning of Scikit learn, Pandas, Numpy and Matplotlib
• Use Pandas to load dataset on Jupyter notebook
• Visualizing data using Matplotlib
• Analyze data using Pandas and Matplolib
• Handling missing values using Pandas
• Preprocessing of data using Pandas and scikit learn
• Handling Duplicates using Pandas
• Data conversion using Pandas
• Converting dataframe to datetime
• How to create a project and an application in Django
• Important configuration for Django project
• Learn the relationship between Views, URL and templates in Django
• Understand meaning of machine learning and Predictive analytics
• Feature selection in machine learning
• Use train test split function to divide dataset into training and testing set
• Train machine learning algorithm using training set
• Use predictive analytics to discover the pattern and forecast the future
• Measure accuracy of machine learning algorithm using cross validation
• Make prediction using created model in machine learning
• Create Django web application for deploying machine learning model
• Learn to deploy machine learning model on Django web framework