An in-depth exploration of logistic regression models, including data cleaning, model building, and performance evaluation on various datasets.

Predicting Hepatocellular Carcinoma through Supervised Machine Learning

SC1015 Mini Project regarding the distribution of salaries of Data Science professionals and classifications

Using Exploratory Data Analysis(EDA) and building different Machine Learning Models(Logistic Regression, Decision Tree, Random Forest and XGBoost) We'll help Salifort Motors to predict employee turnover rate and retain their talents.

Machine learning for predicting customer propensity to buy a product from an eshop. Forecast whether a user is likely to make a purchase on an e-commerce platform by analyzing their browsing and interaction patterns.

The challenge is to recognize fraudulent credit card transactions so that the customers of credit card companies are not charged for items that they did not purchase.

Urinary Biomarkers for Pancreatic Cancer

Perbandingan metode klasifikasi dalam analisis sentimen dengan data berasal dari google play store berupa review dan rating tentang ojek online di indonesia berdasarkan 3 aplikasi ojol, yaitu : Maxim, Grab dan Gojek.

I am Applying My Whole Machine Learning Concepts On Several Datasets and Solve Their Problems in a Relevant Manner.

Analyzing past 20 years data of tennis players, understanding and predicting the key factors that impact the winning or losing of tennis player based on their past performance using classification algorithms

Used Jupyter along with python libraries like numpy, panda, matplotlib, etc to determine if a student is prepared for a test based on the selected features. then using made a user-friendly interface to predict preparedness of the student based on new entries from user during runtime.

A summative coursework for MAS8404 Statistical Learning for Data Science

Chapter 12: Data Preparation for Fraud Analytics

Logistic Regression Classifier; MVC Classifier; Logistic regression Classifier with Squared x parameters

Machine Learning 1 FER labs

Using different machine learning algorithms to classify the credit card transactions as fraud or valid

Development and comparison of 12 machine learning models to predict autism as well as a discussion of the process.

Loan Prediction using Classification Techniques