Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

A repository for sharing ipynb's of my experiments with ML. Some notebooks are 'old' by now and might no longer work 'out of the box'.

Convert Jupyter (IPython) Notebooks to static HTML

A simple tutorial of wavelet, STFT and FFT

Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)

CS302 Modelling and Simulation Weekly Assignments in python based on modelling different systems - SARS, Malaria, SIR

NBA players individual performance perdictions using Neural Networks. Comparison between LSTM and Feed Forward Architectures. Created by Meitar Bach, Mai Elenberg and Lior Ben-Ami

Python for data science

An app for macOS that launches and displays jupyter lab. No need to keep terminal open for that anymore!

Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"

19CSE305 Term project

No description provided.

Jupyter Notebook for KNN Algorithm.

Where and how to use decorators in python.

SalaryAi is a machine learning-powered web application that predicts employee salaries based on input features like age, gender, education level, job title, and years of experience. Built with FastAPI, it includes a sleek frontend interface and uses U.S. salary data for predictions.

Collection of data science projects. Each sector takes to kaggle page where you can find the codes along with explanations and analysis.

Beginning with NLP

A well structured practical deep dive into functional programming in NumPy.

A collection of R programming notebooks and resources covering basics to advanced topics like arrays, data frames, loops, clustering (KMeans, DBSCAN), PCA, and more. Regularly updated with practical examples and tutorials.

Kaggle learn course tutorial and exercises notebook

Python BootCamp

Exploring deep learning on Cooley

This is a collection of sample iPhyton Notebooks, these can be used with Google Cloud Datalab

My course-work and implementations...

Python · Store Sales - Time Series Forecasting

This repository contains code for classfying images from KAN based VGG11 model with prototypical networks.

Performing Eda and trying different Models to predict Species of Flower in Iris Dataset

In this project, we will be working on extracting text from images. After extracting the text we will apply some basic functions of opencv on that text to enhance it and to get more accurate results. This project will be very useful as it will save time and effort of typing from an image.

This is a repository where i will be adding any small scale data analysis project i do ~o((>ω< ))o~

Analyzed the cancelling of booking of hotels and summarized insights to the Hotel Manager to increase profit by 30%. Demonstrated data exploration, cleaning, analysis using Python and its libraries: pandas, seaborn, matplot. Documented the results in PDF report: reduced cancellation by 30% and releasing discounts for 10 days in a month.