- #0 - What is Data Science | Introduction to Data science and Machine learning in Hindi
- #1 Jupyter Notebook crash course | Data science tutorial in Hindi
- #2 NumPy in one Video | data science tutorial in Hindi
- #3.1 Pandas Introduction and series in pandas | Data science tutorial in Hindi
- #3.2 Pandas DataFrame basics | Data science tutorial in Hindi
- #3.3 More on Pandas DataFrame in Hindi | Data science tutorial in Hindi
- #3.4 Read CSV File using pandas | Mini Project | Data science tutorial in Hindi
- #4.1 Matplotlib for Data Visualizations | Data Science tutorial in Hindi
- #4.2 Matplotlib for data visualization part 2 | Data science tutorial in Hindi
- #4.3 Visualize COVID 19 India data from Wikipedia using Matplotlib | Data science tutorial in Hindi
- #5 Linear Regression Algorithm in Machine Learning using scikit learn in Hindi
- #6 Split data into train and test subsets using scikit learn | Data science tutorial in Hindi
- #7 Multiple Linear Regression using scikit learn | Data Science and Machine learning in Hindi
- #8 Logistic Regression Algorithm using scikit learn | Data science and Machine learning in Hindi
- #9 Multinomial Logistic Regression using scikit learn | Data science and machine learning in Hindi
- #10 Decision Tree Algorithm using scikit learn | Data science and Machine learning in Hindi
- #11 Random Forest Algorithm using scikit learn | Data science and Machine learning in Hindi
- #0 Flask + ML project Overview | Flask tutorial in Hindi
- #1 Hello world in Flask | Flask tutorial in Hindi
- #2 Url parameters & Jinja2 Template engine | Flask tutorial in Hindi
- #3 Template Inheritance in flask | Flask tutorial in Hindi
- #4 Getting Form data on server | Flask tutorial in Hindi
- #5 Creating ML model to predict diabetes using scikit learn | Flask tutorial in Hindi
- #6 Using ML model in Flask | Flask tutorial in Hindi
- #7 Deploy Flask + ML web application project on heroku | Flask tutorial in HIndi
This this playlist we will be learning Data science and machine learning in Hindi.
It has following topics covered
1) Jupyter Notebook
2) Numpy
3) Pandas
4) Matplotlib for data visualization
6) Machine Learning using sklearn
7) Deploy ML model using flask