Predictive-Analytics

Here, We will Take a Deep dive in Predictive Analytics - So called " -Advanced Predictive Analysis- " , You will know What Challenges and Tips you should consider, you can find all those in code(jupyter-notebook) as comments('#').

Advanced-Data-Predictive-Analytics

Advanced analytics which is used to make predictions about unknown Test-Cases From Test-Data. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about Test-Data.

For More Insights on "BASIC" Approaches of Data Mining , WebScrapping and Predictve-Analysis(Comming-Soon) ; you can refer
this REPO : https://github.com/jaypatel15406/Data-Warehouse-And-Mining From my Friend Jay Patel

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To Contribute to the Project:

1. Choose any open issue from here.
2. Comment on the Issue: Can I work on this? and Start Exploring it.
3. Make changes to your Fork and Send a PR.

To Create a PR (Pull Request):

For Creating Valid PR Successfully. Kindly follow Guide: https://help.github.com/articles/creating-a-pull-request/

To Send a PR, Follow Rules Carefully !!

**Otherwise your PR will be Closed**:

1. For Appropriate PR, follow Title Format: Fixes #IssueNo : Name of the Issue

For any Doubts related to the Issues, such as understanding Issue better etc., Comment Down your Queries on the Respective Issue.