๐๐๐ค๐ฌ๐ก๐ข ๐๐๐ง๐ฐ๐๐ซ's repositories
CHESS-PIECES-DETECTION-
Chess pieces detection involves using computer vision techniques to identify and locate individual chess pieces on a chessboard.Able to identify chess pieces on a board or in a video using yolov5.
EMPLOYEE-PERFORMANCE-ANALYSIS-
This is IABAC Project. The project's business rationale entails utilizing the dataset's provided features to forecast employee performance ratings.
BLOOD-DONATION-PREDICTION-
Blood donation prediction involves developing a model to predict whether an individual is likely to donate blood based on various features and historical data.Predict the person will donate blood or not.
Data-Science-Roadmap
How to become a data scientist in 6 months.
Face-Mask-Detection
Face mask detection is a deep learning task that involves developing models to identify whether a person in an image or video is wearing a face mask or not.
QUORA-QUESTION-PAIR-
The Quora Question Pair dataset is a well-known dataset used in natural language processing and machine learning. It consists of pairs of questions from the question-and-answer platform Quora, with labels indicating whether the pairs are duplicate or not.
Quantmindforge.github.io
Creative coder showcasing passion through innovative projects. Explore my journey into technology and design on my GitHub portfolio.
100-DAYS-OF-PYTHON
Welcome to my '100 Days of Python' challenge repository! Here, you can track my daily progress as I dive into the world of Python, starting from ground zero. Every day, I will engage with diverse Python concepts, undertake projects, and solve exercises. My journey of learning Python will unfold before you, day by day,.
MACHINE-LEARNING-PROJECTS-
Machine learning is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed.
Sakshitanwarportfolio.github.io
My Personal Portfolio Website
SKIN-DISORDER-DETECTION
Skin disorders, such as acne and eczema, vary greatly in symptoms and severity. They can be temporary or permanent and may be painlessSkin disorders, such as acne and eczema, vary greatly in symptoms and severity. They can be temporary or permanent and may be painless or painful. or painful.
AUTO-MOBILE-PRICE-PREDICTION
THE AIM IS TO PREDICT THE PRICE OF CAR USING ALL THE GIVEN FEATURES.
CELL-PHONE-PRICE-RANGE-PREDICTION
Find out some relation between features of a mobile phone(eg:- RAM, Internal Memory etc) and its selling price. In this problem you do not have to predict the actual price but a price range indicating how high the price is.
DETECTING-RICE-LEAF-DISEASES
This dataset contains 120 jpg images of disease infected rice leaves. The images are grouped into 3 classes based on the type of disease. There are 40 images in each class.
FOREST-COVER-TYPE-PREDICTION
The goal of the Project is to predict seven different Cover Types in four different Wilderness Areas of the Roosevelt National Forest of Northern Colorado with the best accuracy.
HEART-DISEASE-PREDICTION-
BASE ON GIVEN FEATURE AND MESUREMENT PREDICT WHETHER PATIENT WILL HAVE HEART DISEASE OR NOT.
PHISHING-WEBSITE-DETECTION
PREDCIT THE WEBSITE URL IT IS FAKE OR SAFE.
PLANT-DISEASE-IDENTIFICATION-USING-CNN
This project is an approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. The developed model is able to recognize 38 different types of plant diseases out of of 14 different plants.
UNO-CARDS-DETECTION-USING-YOLOV5
The purpose of this project is to create a Deep Learning model that detect the Uno cards .
WALK-RUN-CLASSIFICATION.
To Create a predictive model to classify whether a person is running or walking based on the given predictor variables.
ZOMATO-ANALYSIS-USING-POWERBI-PYTHON-
Analyze Zomato restaurant data all the world and find the insights by using Python libaries and also visualize the dataset by using Power-bi.
50-DAYS-OF-DEEP-LEARNING
Welcome to the Deep Learning 50 Days Challenge repository! This repository contains resources, code samples, and projects for a comprehensive 50-days deep learning journey.
BREAST-CANCER-DETECTION-USING-MACHINE-LEARNING-CLASSIFIER
Breast cancer detection using machine learning classification is a project where you build a model to identify whether a given set of medical features indicates the presence of breast cancer. This project involves using a labeled dataset of medical records, where each record is classified as either indicating breast cancer or not.
Directing-Customers-to-Subscription-Products-through-App-Behavior-Analysis.
The objective of this model is to predict which users will not subscribe to the paid membership, so that greater marketing efforts can go into trying to convert them to paid users.
Jupyter-Notebook-Tips-And-Shortcuts
Jupyter Notebook is widely used for data analysis.
Kaggle-Challenges
DataScience projects for learning : Kaggle challenges,
PYTORCH
PyTorch is an open-source machine learning library developed by Facebook's AI Research lab (FAIR). It is widely used for deep learning applications and is known for its ease of use, flexibility, and dynamic computation graph, which allows for more intuitive and flexible model building compared to static graph frameworks like TensorFlow.