Messing around with Databases Dimensionality Reduction and classification using Multi Layers Perceptron. (simple academic research)

Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.

Cardio Monitor is a web app that helps you to find out whether you are at risk of developing heart disease. the model used for prediction has an accuracy of 92%. This is the course project of subject Big Data Analytics (BCSE0158).

Unsupervised-ML---Association-Rules-Data-Mining-Titanic. Data Preprocessing: As the data is categorical format, we are using One Hot Encoding to convert into numerical format. Apriori Algorithm: frequent item sets & association rules. A leverage value of 0 indicates independence. Range will be [-1 1]. A high conviction value means that the conse…

Association-Rules-Data-Mining-Books. Apriori Algorithm, Association rules with 10% Support and 70% confidence, Association rules with 20% Support and 60% confidence, Association rules with 5% Support and 80% confidence, visualization of obtained rule.

Assignment-09-Association-Rules-Data-Mining-my_movies. Apriori Algorithm. Association rules with 10% Support and 70% confidence. Association rules with 5% Support and 90% confidence. Lift Ratio > 1 is a good influential rule in selecting the associated transactions. Visualization of obtained rule.

Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.

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.

In This Notebook I've built an Association rules Recommendation system, that make relations between itemsets and recommend the items that related to what user purchased.

Apriori Algorithm Association rules with 10% Support and 70% confidence Association rules with 5% Support and 90% confidence Lift Ratio > 1 is a good influential rule in selecting the associated transactions visualization of obtained rule

Association-Rules-Data-Mining-Books. Apriori Algorithm, Association rules with 10% Support and 70% confidence, Association rules with 20% Support and 60% confidence, Association rules with 5% Support and 80% confidence, visualization of obtained rule.

Market basket optimisation/Used libraries: NumPy , Pandas, Matplotlib, Seaborn, Networkx, Warnings, Pycaret

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.

Subreddit recomendation system based on association rules harvested using data mining algorithms.

un algorithme qui predit si une personne X a le corona

Portfolio of data science projects completed by me for academic, self-learning, and hobby purposes.

Предоставлен файл с сервера. Вам нужно спарсить его содержимое, создать базу данных под данные, вставить данные в базу данных, удаленно подключиться к базе данных и проанализировать данные.