Journey from School to Placements

Analyzing placement stats

In this project, I am gonna explore how the percentage and stream of students affect their placements and does any role of different aspects like gender and board of education have on their placement or not!!

The dataset used in this project contains information of students education from secondary to graduation level which finally leads to whether the student was able to get placed or not and what salary was offered to them.
Dataset is taken from Kaggle (factors-affecting-campus-placement) and it shows the data of students education, work experience, specializtion and finally their placements.
I will try to use every tool that I have learnt in the the course to analyze and explore the dataset.Then, I will visualize the data so to get an idea of how students have travelled the journey so far.

As a first step, let's upload our Jupyter notebook to Jovian.ml.