heart-disease-prediction

Logistic regression is utilized for predicting heart disease based on input features by modeling the probability of occurrence.

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.

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.

hyperparameter-tuning-in-python

Hyperparameter tuning is the process of optimizing the hyperparameters of a machine learning model to improve its performance.

introduction-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.

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.

iris-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.

jarvis-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.

javascript-overview

javascript-tutorial

introduction to JavaScript for Beginners

k-fold-cross-validation-in-python

K-fold cross-validation is a technique used in machine learning for model evaluation.

laptop-price-prediction

lasso-regression-from-scratch-in-python

LASSO (Least Absolute Shrinkage and Selection Operator) regression is a type of linear regression that incorporates a regularization term known as the L1 penalty into the model's loss function.

learn-git

learning_time

leetcode-solutions

lifelineb

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).

loan-application-prediction-using-machine-learning-

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.

matplotlib-tutorial-for-ml

Matplotlib is a powerful Python library for creating static, animated, and interactive visualizations.

methods-of-string-and-array-in-cpp

mine-vs-rock-prediction-

As it a binary classification model it is perfect to predict if an object is mine or rock based on the sonar data.

ml-model-as-api

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.

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 .

movie-recommendation-system

Movie Recommendation System is a Streamlit app that recommends movies based on the user's input.

multiple-disease-prediction-system-

my-desktop

my-website