Description
This course is based on practical Approach towards Machine Learning and Data Science.
Starting from the basic python libraries and going to implement and perform more complex level predictions.
There is no prerequisite for this course but still you must go through the python basic documentation which you will get in this course material.
and you must have basic knowledge of python before starting with this course.
There will be some assignments based on data science which will include
- stock analysis
- text extraction
- working on different data sets
- applying different algorithms in an effective manner.
- more
Here we explore different methods , libraries . make predictions , verify results and more .
Learn how to use
- NumPy
- Pandas
- Seaborn
- Matplotlib
- Plotly
- Scikit-Learn
- Machine Learning
- more!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This will going to most effective and comprehensive course for data science aspirants
you will be able to think like a data wizard or data scientist.
you will get the dataset from the course material and also its available on web i will show you have to download that also.
you will also get some good understanding of
data cleaning
data preprocessing
data methodologies
applying tests
etc
updates
CODES ALL UP TO DATE