Name: Sajid
Type: User
Bio: Hello👋
My name is Md Kazi Sajiduddin, you can call me Sajid for short .I am learning Data Science and currently in my final year of my college .
Twitter: Sa_j_i_d
Location: New Delhi, Delhi, India
Sajid's Projects
Tired of spelling errors in your text? Say goodbye to embarrassing mistakes with the AI Autocorrect System, designed to boost the accuracy of your typing! 🎯
Containing model that can detect sentiment of airline tweets
This is Andrew NG Coursera Handwritten Notes.
Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!
Anime Dataset Generator: Fetch, analyze, and utilize comprehensive anime data using the Jikan API.
links and status of cool gradio demos
This is repository for predicting car price .You need to fill out the details of your car and can see for how much price you can sell your car.
A chatbot for data scientists.
Predicting customers who are likely to cancel their subscription or stop using a service
My notes / works on deep learning from Coursera
In this repository I have trained my machine learning model to detect whether there was fraud or not in your online transaction.
This is my practice on github
Deep learning-based image captioning with Flickr8k dataset. Code includes data prep, model training, and a Streamlit app.
Add dynamically generated Kaggle Tier & Medals on your readme.
This app utilizes deep learning to predict the loan status of an applicant, whether it's "Fully Paid" or "Charged Off".
This project focuses on handwritten digit recognition using the MNIST dataset and a Neural Network. The goal is to develop a system that can accurately detect and classify scanned images of handwritten digits.
This is my portfolio website for data science
This repository features a Jupyter Notebook showcasing LSTM neural networks for stock price forecasting.
Simplify talent acquisition processes by incorporating a sophisticated resume parser for intelligent extraction and organization of resume data.
Predicting the survival rate of passengers.
Hello everyone!!! In this repo I have trained a tweet sentiment-analysis model i.e. if you enter your tweet the model will tell if the tweet is positive or negative
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent