EDA, Visualizations &
Recommender system
In this project analytical insights have been derived from the Netflix dataset and a content recommender system is built.
EDA, Visualizations &
ML Algorithms:
Classification
Trained multiple ML models on Titanic dataset for binary classification.
ML Algorithms:
Regression
Trained multiple ML models on Housing dataset taken from Kaggle. Regression algorithms trained for price prediction.
XGBoost: Regression
Data analysis performed on another housing dataset taken from Kaggle. Performed outlier detection and removal using different techniques before applying XGBoost regression algorithm.
XGBoost: Classification
Analyzing beer dataset and applying PCA, Kernel-PCA, LDA for dimensionality reduction. Then, implementing Kernel-SVM and visualizing separation of classes.
NLP: Text Summarizer
and Sentiment Analysis
Text summerization and sentiment analysis using NLP of the novel 1984 by George Orwell and 1984, an album by a rock band Van Halen.
Other Projects: Data Analytics
Projects done throughout my learning period of doing PG Diploma online. Consists of many techniques and ML algorithms used for analytics.
Index
Code
Miscellaneous Python code snippets from my different projects which I thought were important and can be used as reference for required solutions.
Python Project: Library Management System
Python project using tkinter library and integrating SQL database for storing and accessing records of a library.
Python Flask 01:
To-Do list
A to-do list creator and editor website made with python flask and integrated sql for managing to-do lists.
Python Flask 02:
Hugging Face NLP API
Created a website using text summarizer API from Huggingface.com and python flask.
SQL
Scripts
SQL scripts for general queries and also some stored procedures.
BI Tool:
Power BI
Using DAX Queries and generating interactive reports for business intelligence.