abhaykumar04

Config files for my GitHub profile.

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algerian_forest_fire_linear_regression

In this project, we aim to predict the temperature using Algerian forest fire dataset

analysis-delhi-aqi

Analyzing air quality data from 2019 and 2020 of Delhi.

breast_cancer_prediction

The system aims to predict whether a patient is likely to have breast cancer or not. By leveraging machine learning techniques, it provides a valuable tool for early detection and diagnosis.

capstone-healthcare-project-

This healthcare project aims to predict the onset of diabetes using machine learning models.

classification_digit_recognizer

A digit recognizer using machine learning algorithms, specifically Support Vector Machines (SVM) and Logistic Regression. The goal is to correctly classify handwritten digits from the famous digit dataset using these classification models.

classificationapp

I have created an interactive classification app using Streamlit that covers three popular datasets: The Breast Cancer dataset, The Wine dataset, The Iris dataset.

co2-emission-regression-of-canada-dataset

CO2 emission regression analysis on the Canada dataset using various regression techniques.

concrete_compressive_strength_prediction

The aim is to analysis and build a regression model that predicts the concrete compressive strength based on different features.

credit-card-fraud-detection

Credit Card Fraud Detection using Machine Learning, I have undertaken the task of developing a robust system to identify fraudulent credit card transactions.

credit-score-classification

Credit-related information, build a machine learning model that can classify the credit score.

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

diabetes-dataset-decision-tree-analysis

Embark on a comprehensive analysis of the Pima Indians Diabetes dataset using Decision Trees. Visualize feature relationships and handle outliers for robust modeling. Evaluate both classification and regression models, providing insights into diabetes prediction.

eda-google-play-store

The Play Store apps data has enormous potential to drive app-making businesses to success.

energy-price-prediction-using-machine-learning

Predicting energy prices using various machine learning techniques. Specifically, I have implemented and compared three different regression models.

ethereum_fraud_detection

Detecting fraud in Ethereum transactions using machine learning techniques

exploratory_data_analysis_with_pyspark

Explore the Cars dataset using PySpark for a comprehensive Exploratory Data Analysis (EDA).

exploratory_data_analysis_with_r

Explore dataset characteristics with R through diverse graphs using the "iris" dataset. This project utilizes R packages such as ggplot2 and dplyr to create visualizations like scatter plots, box plots, and heatmaps. Gain insights into relationships, distributions, and correlations within the data.

explore

Community-curated topic and collection pages on GitHub

fake_news_classifier_using_natural_language_processing

Embark on a journey to develop a Fake News Classifier using NLP techniques. This README outlines the key steps involved in building and implementing the classifier.

flask_weathernow

Experience weather updates like never before with the WeatherNow⛅ app. Get instant access to accurate and up-to-date information for any city worldwide🌍.

graphical-analysis-by-seaborn-library

Seaborn is an amazing visualization library for statistical graphics plotting in Python.

insurance-case-study

This project involved conducting a data exploratory analysis and hypothesis testing

k-means_clustering-customer_segmentation_analysis

Uncover customer patterns with K-Means Clustering on Mall Customer data. Explore age, income, and spending score relationships through visualizations. Identify distinct customer segments for targeted strategies. Use the provided code to reveal insights and enhance personalized customer engagement.

language-detection-model-python

A different language is a different vision of life.

logistic-regession

It is a type of regression analysis that is commonly used when the dependent variable is categorical or binary.

machine-learning-big-data

"Machine Learning with Big Data" course offered by UC San Diego on Coursera, and it has been an incredible journey!

market-basket-analysis

Uncover customer preferences with Market Basket Analysis, exploring item associations and sales patterns. Using the Apriori Algorithm, this project identifies significant trends, top-selling items, and recommends strategic actions for increased sales and efficiency.

market_basket_analysis

We hypothesize that there exists significant evidence to substantiate the assertion that the purchase of Bread leads to the purchase of Butter.