Exploratory Data Analysis
In this series of topics you will get to understand how to do the EDA using python.
https://www.kaggle.com/ekami66/detailed-exploratory-data-analysis-with-python
https://www.kaggle.com/sharmasanthosh/exploratory-study-on-ml-algorithms
https://www.kaggle.com/ddigges/exploratory-data-analysis-india-s-story
https://www.kaggle.com/cast42/exploring-features
https://www.kaggle.com/abhishekmamidi/titanic-data-preprocessing-and-visualization
Seaborn
For the data visualization and EDA you can use the seaborn. In this topic you will get the hands on experience of Seaborn using python.
https://seaborn.pydata.org/tutorial.html
Data leakage
Data leakage is a big problem in machine learning when developing predictive models. Data leakage is when information from outside the training dataset is used to create the model. In this topic you will discover the problem of data leakage in predictive modeling.
https://machinelearningmastery.com/data-leakage-machine-learning/