This is a comprehensive course which builds on the knowledge and experience into Data science. This course provides techniques for data cleaning, visualizing the data, predictive modelling, machine learning and deep learning.

After Completion of this Course:

• Build predictive models using linear, logistic regression and decision trees
• Build machine learning models using Neural nets, SVM and Random forest
• Build deep learning models using CNN and RNN

Course "Data Science with Python" is designed with clear explanation of concepts and real time industry examples & challenges.

Course is divided in to 5 parts:

1. Statistics

2. Python Programming

3. Machine Learning (Regression and Clssification Algorithms)

4. Deep Learning (RNN, CNN, LSTM)

5. NLP

With basic knowledge of maths, you can able to capture the concepts...

After completing the course, will get help in mock interviews and resume preparation.