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booktrack

cs50-commerce

CS50s Web Programming with Python and JavaScript: Project 3 - Commerce

dcai-lab

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽‍💻

department

galaxy_database

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

library-managment-system

I develop this managment system using c++. This system has also functionality of command line

machinelearning

Machine learning projects

missing_values

Missing values Different methods

oibsip_task1

To solve this classification problem, I have trained two different machine learning models: a support vector machine (SVC) and a logistic regression model. Both of these models have achieved an accuracy of 1.0 on the iris dataset, which means they have correctly classified every sample in the dataset.

oibsip_task3

To train the neural network, I have likely used a dataset of car prices and their corresponding features as the training data. The neural network is trained by adjusting the weights and biases of the connections between the nodes based on the difference between the predicted price and the actual price of each car in the training data.

oibsip_task5

Sales prediction using linear regression is a common machine learning application in the field of business. The goal of this task is to use historical sales data to predict future sales and make informed decisions about inventory management, marketing strategies, and other business operations.

protein-function-prediction

I've developed a machine learning model to predict protein functions from their amino acid sequences. This approach holds immense potential for accelerating drug discovery and understanding biological processes.

sardar

sardarmani

Config files for my GitHub profile.

stock_exchange_predictor

I ventured into predicting stock prices in selected sectors, including power, IT, pharma, and cement, and analyzing companies with varying volumes (mid, low, high).

wiki

Wiki Project on python based framework Django