Data Science with AI
I completed Internshala’s six-week Data Science with AI training in 2020 and scored 87%. It covered Python, statistics, data visualisation and introductory machine learning.
The exercises included working with datasets, training models and reviewing their results. My final project used a bank marketing dataset.
Category
Data Science
Training provider
Internshala Trainings
Course Duration
6 Weeks / 42 Days
Course Dates
4th May 20′ to 15th June 20′
Final Score
87%
Verification Links
Topics covered
- Python variables, data types, loops and functions.
- Statistics, probability and data preparation.
- Exploratory analysis and plots with Matplotlib and Seaborn.
- Regression, decision trees and random forests.
- Preparing data, training a model and evaluating its results.
Final Project
For the final project, I used a course dataset to predict whether a bank customer would subscribe to a term deposit. I worked with the supplied train.csv and test.csv files in Python.
The work included cleaning data, encoding categories, splitting training and test data, and comparing logistic regression and random forest models. I used Pandas, NumPy, Scikit-learn, Matplotlib and Seaborn in Jupyter Notebook.
What I learned
I learned how data preparation, model choice and evaluation fit together. I also practised using Python and plots to understand a dataset before training a model.
This was an early introduction to data analysis for me. The Python and data preparation skills have since been useful in audit analytics and automation.