The Optimizing crop production project is a cutting-edge solution aimed at enhancing crop yield and productivity by leveraging data-driven insights. Through the use of advanced machine learning algorithms, this project helps farmers make decisions on various aspects of agriculture based on the certain climatic conditions.

A risk-scoring model is developed for a bank company using machine learning algorithms to assess the profitability of new loan applicants. The model predicts Expected Loss by analyzing Probability of Default, Exposure at Default, and Loss Given Default.

Predict survival on the Titanic and get familiar with ML basics.

Implementation of Logistic Regression considering a single Neural Network Node

supervised machine learning classifier model

Lead Scoring Analysis and Segmentation. A lead scoring analysis is conducted for an online teaching company with a low client conversion rate. The goals are to reverse this trend by using a machine learning model based on available company data and to categorize customers with an effective segmentation.

Implementation of logistic regression algorithm from scratch.

Used R to create a series of models to predict whether or not an individual is likely to have diabetes given a set of predictors, using a Diabetes dataset (768 obs. of 9 variables). Cleansed the data, created several visuals, and then selected the best model.

Predicting Credit Card Approvals

Finding Best Classifier

Predicted the outcome of 2018 IPL matches using the Random Forest machine learning algorithm with an accuracy of 71%, which was greater than the accuracy of Logistic regression and SVM algorithm.

Comparison between different machine learning techniques by attempting to predict suicidal thoughts among youth in the US.

Here we analysis the IPL Data set, and predict the accuracy apply different Machine Learning Algorithm

Data analysis of concerning prevalence of heart disease and stroke given various health variables, such as Age, Smoking habits, Weight, among others.

machine learning algorithms implementation

➕ Solving Problems Using ➗ (✔ Logistic Regression Algorithm ✔)

Logistic regression implementation in python.