Ecosyste.ms: Awesome
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Projects in Awesome Lists by LJadhav25
A curated list of projects in awesome lists by LJadhav25 .
https://github.com/ljadhav25/false-alarm-detection
The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
flask flask-api logestic-regression numpy pandas pkl pycharm-ide python
Last synced: 19 Dec 2024
https://github.com/ljadhav25/django-data-analyzer
Django Data Analyzer is a web application built using the Django framework, designed to streamline data analysis tasks. Users can upload CSV files containing data for analysis. The application utilizes the powerful data manipulation capabilities of Python libraries like pandas and numpy to perform various analyses on the uploaded data.
data-analysis data-visualization django-application matplotlib numpy pandas python seaborn
Last synced: 10 Nov 2024
https://github.com/ljadhav25/sales-dashboard-with-excel
This repository provides a comprehensive analysis of sales and customer data to offer insights into various aspects of sales performance, customer behavior, and regional distribution. The analysis includes evaluations of total sales revenue, product categories, top-selling products, customer sales, regional performance, and profit margins.
Last synced: 18 Nov 2024
https://github.com/ljadhav25/principle-component-analysis-pca---machine-learning
Principal Component Analysis (PCA) is a statistical technique used in machine learning and data science for dimensionality reduction. The main goal of PCA is to reduce the number of variables in a dataset while preserving as much information as possible.
Last synced: 18 Nov 2024
https://github.com/ljadhav25/apriori-algorithm-machine-learning
The Apriori algorithm is a classic algorithm used in data mining for learning association rules. It is designed to identify frequent itemsets in a transactional database and generate association rules from these itemsets
apriori-algorithm machine-learning-algorithms pandas python
Last synced: 18 Nov 2024
https://github.com/ljadhav25/k-means-clustering-data-science-
K-means clustering is a popular unsupervised machine learning algorithm used for partitioning a dataset into a pre-defined number of clusters. The goal is to group similar data points together and discover underlying patterns or structures within the data.
data-science dataanalysis kmeans-clustering-algorithm machine-learning matplotlib pandas python
Last synced: 18 Nov 2024
https://github.com/ljadhav25/-natural-language-processing
Natural Language Processing (NLP) is a branch of data science that consists of systematic processes for analyzing, understanding, and deriving information from the text data in a smart and efficient manner
logestic-regression machine-learning nlp-library pandas-dataframe python
Last synced: 18 Nov 2024
https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-
This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms
data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier
Last synced: 18 Nov 2024
https://github.com/ljadhav25/knn-algorithm-data-science-
This repository contains a project demonstrating the implementation and application of the K-Nearest Neighbors (K-NN) algorithm in Data Science. The objective is to provide a comprehensive understanding of the K-NN algorithm, including data preprocessing, model training, evaluation, and visualization of results. This project is ideal for beginners
data-analysis data-science knn-classification machine-learning matplotlib-pyplot numpy pandas-library seaborn
Last synced: 18 Nov 2024
https://github.com/ljadhav25/linear_regression_data_science
Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable.
data-analysis data-science linear-regression machine-learning
Last synced: 18 Nov 2024
https://github.com/ljadhav25/logistic-regression-data-science-
Logistic regression estimates the probability of an event occurring, such as voted or didn’t vote, based on a given data set of independent variables.
data-analysis data-science data-visualization logestic-regression machine-learning
Last synced: 18 Nov 2024