Created different models that will help predict if the borrower has a high probability of paying their loan back in full and analyze the performance to choose the most suitable model.

Exploring Fusion Adaptive Resonance Theory to store data, represent knowledge and predict results under noise using natural language processing.

Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.

RPS GameOn: In these project, I created a "Rock Paper Scissors" game as GUI application using python Tkinter library.

House price Prediction model simple and easy with dataset

TUDelft-CSE-research-project

Using Logistic regression algorithm for predicting whether the patient has heart disease or not.

It's a classification model that predict whether an individual will suffer from autism in future or not

KisaanBot: A chatbot assistant for farmers towards improving livelihood

Create a model that can accurately predict whether a user belongs to the HCP(Healthcare Professional) category or not. Based on server logs.

End-to-end projects: customer churning prediction using the Random Forest Classifier Algorithm with 97% accuracy; performing pre-processing steps; EDA and Visulization fitting data into the algorithm; and hyper-parameter tuning to reduce TN and FN values to perform our model with new data. Finally, deploy the model using the Streamlit web app.

This library enables you to use Interrupt from Hardware Timers on Arduino AVR ATtiny-based boards (ATtiny3217, etc.) using megaTinyCore. These ATtiny Hardware Timers, using Interrupt, still work even if other functions are blocking. Moreover, they are much more precise (certainly depending on clock frequency accuracy) than other software timers …

Evidence-Based Scheduler

kNN algorithm implementation in Python with graphical analysis

[Tutorial] Start off with a simple convolutional network to use on the CIFAR-10 dataset, followed by several adjustments to increase the accuracy to >92%.

Titanic : Machine Learning from Disaster

A program that graphs the volatility and accuracy of the weather readings from the Sarnia power plant. It can graph using the data retrieved 24 hours ahead or 48 hours ahead

A native JavaScript ES6+ object-orientated click accuracy game.

A logistic regression model to predict users who can churn given their demographics, services availed and expenses.