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Javascript-Tutorial
introduction to JavaScript for BeginnersJarvis-Bot
The system works based on voice recognition. It recognizes the human voice using Python libraries and performs predefined tasks such as sending WhatsApp messages, recommending movies, and many more.House-Price-Prediction-TensorFlow
Utilizing TensorFlow, this project predicts house prices by analyzing features like square footage and location. Through data preprocessing and deep learning techniques, a regression model is trained and evaluated for accuracy. It offers a concise demonstration of TensorFlow's efficacy in real estate forecasting.Learning_time
news-application
News One is a Streamlit app that shows top headlines from different countries.pranav-league-
python_program_exercises
Some python program related exercisesPlanetDestroyyer
My GitHub ProfileMovie-Recommendation-System
Movie Recommendation System is a Streamlit app that recommends movies based on the user's input.python-password-generator-
A simple password generatorASKAN-NEW
Askan Foundation Web Application: Developed a web application for Askan Foundation, leveraging Python, MongoDB, HTML, CSS, and JavaScript. This project involved the creation of a dynamic and user-friendly platform to facilitate communication and interaction for the foundation's activities and initiatives.Basic-Dsa
Python_Projects
Done some useless projetsIntroduction-to-Mojo-Programming-Language
Introduction-to-Mojo-Programming-Language Mojo is designed for AI developers and combines the usability of Python with the performance of C.Model-Selection-in-ML-using-Python
Model selection is the process of choosing the best machine learning algorithm or model architecture for a given problem.Amazon-Webscraping
Amazon Web Scraping Project: Employed the Python Scrapy framework to create a web scraping application focused on Amazon.Hyperparameter-Tuning-in-Python
Hyperparameter tuning is the process of optimizing the hyperparameters of a machine learning model to improve its performance.Feature-Extraction-of-Text-Data-Tf-idf-Vectorizer-
Introduction to Feature Extraction of Text Data(Tf-idf Vectorizer) in PythonIris-Flower-Classification-TensorFlow
Using TensorFlow, this project classifies Iris flower species based on sepal and petal measurements. It showcases TensorFlow's prowess in building accurate classification models, serving as a concise example of machine learning in botanical analysis.WhatsApp-group-Automation
With the help of selenium i have created a script which will automated the group creation worktest
School-Management-System
My-Website
House-Price-Prediction-using-Machine-Learning-in-Python
Built a Python-based machine learning model for house price prediction, leveraging data preprocessing techniques and regression algorithms. Achieved high accuracy with an MAE of [mention MAE value here] and R-squared score of [mention R-squared value here], providing actionable insights for further improvements.Hashing
Hashing is a Data Structure which has O(1) time complexity for retierval,insertion,deletion and updation of data.Askan-Website
Collaborative-Filtering-based-Book-Recommendation-System
The Collaborative Filtering Book Recommendation System offers personalized book recommendations based on user behavior. Using collaborative filtering, it identifies similar users and books to provide tailored suggestions. Users can input a book title for recommendations or explore top-rated books, enhancing their reading experience.Seaborn-Tutorial-For-ML
Seaborn is a Python data visualization library based on Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.Data-Standardization
Data standardization, also known as data normalization, is the process of transforming data into a common format to make it consistent and comparable.Numerical-Dataset-Processing
Linear-Regression-from-Scratch-Using-Python-
Linear regression is a statistical method used for modeling the relationship between a dependent variable (target) and one or more independent variables (features).Boston-House-Price-Prediction-Using-XGBOOST
"Boston House Price Prediction Using XGBoost: Utilizing the XGBoost algorithm to develop a predictive model for housing prices in the Boston area, leveraging features such as crime rate, air quality, and accessibility to amenities."Support-Vector-Machine-from-Scratch-Using-Python
Support Vector Machine (SVM) is a powerful supervised machine learning algorithm used for classification and regression tasks.Logistics-Regression-from-Scratch-Using-Python-
Logistic Regression is a statistical method used for binary classification tasks, where the outcome variable (dependent variable) is categorical with two possible classes.Tours-and-Travels-Website
Made a Tours and Travel Company webiste in flask python and for the forntend used Html,CSS and Jss along with all this used BootstrapSMS-Spam-Filter-Classifier
Built SMS Spam Filter w/ 95% accuracy using ML & NLP during Delta Clause internship. Stops phishing & unwanted promos.Handling-Imbalanced-Dataset
Basic way to deal with Imbalancement in the DatasetOOPS_PRACTICAL
Iris-Classification-Logistic-Regression
Using Logistic Regression, this project classifies Iris flower species based on sepal and petal measurements. It demonstrates a simple and effective approach to binary classification tasks, offering insights into machine learning techniques for beginners.Git-Basic-
Git Basic Commands to Push code from local Machine to Github Using Git BashLaptop-Price-Prediction
movie-recommendation-ml
Developed a movie recommendation system using Python and machine learning. Built and trained a model to suggest relevant movies based on user preferences or movie attributes. Utilized data analysis, feature engineering, and UI design skills. Project showcases proficiency in machine learning fundamentals, Python programming, and problem-solving .Dealing-with-NAN-values
Few simple ways to avoid NAN values in DatasetLove Open Source and this site? Check out how you can help us