Messing around with Databases Dimensionality Reduction and classification using Multi Layers Perceptron. (simple academic research)
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Updated
Jun 27, 2019 - Python
Messing around with Databases Dimensionality Reduction and classification using Multi Layers Perceptron. (simple academic research)
Portfolio of data science projects completed by me for academic, self-learning, and hobby purposes.
Demystifying ~400K layoffs to analyze underlying causes and predict future trends
A data mining study was conducted to determine the correlations between factors associated with high and low suicide rates in countries worldwide. Pandas and mlxtend were used in Python, as well as the data mining program Rapidminer.
Generated movie recommendations using association rule mining.
Online Coding Internship By Suven Consultants & Technology. During this Internship, I have worked on projects related to Data Analytics, Machine Learning, NLP and Association Rule - Mining.
OpenClassrooms Data Analyst 2022-2023 - Projet 6
Market basket optimisation/Used libraries: NumPy , Pandas, Matplotlib, Seaborn, Networkx, Warnings, Pycaret
The repo focuses on my works in data science
Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.
This is a supermarket basket analysis using FPGrowth.
The Netflix Dataset's exploratory data analysis is housed in this repository.
Elastic net project
Here we are performing real time market basket analysis using hive for dynamic updating data
Subreddit recomendation system based on association rules harvested using data mining algorithms.
This code performs association analysis on a sales dataset, using the Apriori algorithm. The dataset is loaded from an Excel file, and a basket of items is created for each transaction. The Apriori algorithm is then applied to find frequent itemsets and association rules based on the support, confidence, and lift metrics.
"SmartCart" is a cutting-edge e-commerce tool 🌟 that leverages predictive analytics to provide personalized shopping recommendations and optimize inventory management, tailored for businesses aiming to enhance customer engagement and sales 🚀.
This analysis delves into the fascinating world of retail data to unlock valuable insights for businesses. Market Basket Analysis is a powerful technique that allows retailers to understand customer behavior, identify item associations, and offer personalized recommendations.
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