Examples of linear regression.

This Dog Breed Classification model employs TensorFlow 2.0 and Transfer Learning with ResNet50v2 to accurately identify 70 different dog breeds from images, demonstrating the power of deep learning in image classification tasks.

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.

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

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

This repository contains a python notebook that creates Table-1: baseline characteristics with p-values comparing two groups. Greatly helpful for clinical and biological studies. Can be used for manuscipts.

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

Web Scraper using Python

An analysis of a dataset of borrowers, EDA and identification of dependences between debts and other features.

Python notebook collection about Data Science and Machine Learning. Data science course assignments from Sanberode Indonesia

19CSE305 Term project

This is where I stash my Python study material.

Exploring deep learning on Cooley

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

Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy

Kaggle learn course tutorial and exercises notebook

100 Days of ML Coding 繁中ipynb 自學

Vault of projects because I was ililterate of using GitHub

Beginning with NLP

Bayesian Classifier for filtering the spam messages implemented in Python.