Coder Social home page Coder Social logo

ayush7614 / soomvaar Goto Github PK

View Code? Open in Web Editor NEW
46.0 3.0 51.0 953.38 MB

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

Python 0.05% CSS 0.01% JavaScript 0.01% HTML 0.01% Jupyter Notebook 99.94%
machine-learning-algorithms machinelearning opencv keras tensorflow numpy pandas hacktoberfest-accepted hacktoberfest2021

soomvaar's Introduction

Soomvaar

📌 Introduction

Soomvaar is the collection of various codes implement in machine learning and machine learning algorithms with python on collab notebook with kaggle datasets

💥 Notebooks and Datasets

Name Dataset Notebook
Cats and Dogs Prediction Kaggle Dataset Notebook
Amazon Alexa Review Analysis Kaggle Dataset Notebook
Color Detection Kaggle Dataset Notebook
Blur Face Detection Dataset Notebook

Open Source Programs

DevIncept

Powered by Vercel

soomvaar's People

Contributors

aakankshabhende avatar adityarajsahoo avatar adityastark7 avatar akash20x avatar ameyachawlaggsipu avatar anjali001 avatar anubhavdevv avatar ayush7614 avatar ayushi424 avatar bharat-tyagi avatar deepeshaburse avatar dilroser avatar drishtibaranwal avatar guptaanshul752 avatar harsh6768-svg avatar harshita9621 avatar jagannath8 avatar jeevasaravanan avatar kanakmi avatar manasi2001 avatar neerajap2001 avatar nexfreak07 avatar photon149 avatar prakharsingh12 avatar rahulraj31 avatar rc2208 avatar salonithete avatar soumayan-pal01 avatar vaishnavipatil4848 avatar vijay3150 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

soomvaar's Issues

Generating graphs for comparing Kappa Score of different algorithms.

Good afternoon

This is Priyanka Shahane.
I'm DevIncept Participant.

Describe the Bug:

I would like to contribute to the 'Automated Essay Grading ' project by generating graphs for comparing Kappa Score of different algorithms.

Steps to reproduce the behavior:

  1. Import matplotlib library
  2. Generating graphs

Automated Essay Grading

I want to build a model to predict score for the essay. I will use models like SVR, LSTM, word2vec, XGBClassifier and RNN and compare them in terms of their accuracy and their cohen kappa score.

Please assign me this issue as a part of DCP'21

Customer segmentation

Title: K-Means Clustering Algorithm for customer segmentation
About: Aim is to write a code in python to divide the customers in different groups.
Name: Drishti Baranwal

Book Recommendation System

I would like to work on this issue under DCP '21 as a contributor.

I would like to make a Recommender System for books provided, the features like user Id ,book id, ratings etc.

**Tasks Performed would be : **

  • Data Exploration and Visualization.
  • Building models and checking for Efficiency.
  • Recommendation based on user history.

Please assign me this issue under DCP'21

Coffee Production Prediction

I want to add model of Coffee Production Prediction to predict average coffee production from 1990-2018. I will use different models like linear regression, Decision Tree, Random forest, Support Vector Classifier and more and compare their accuracy, RMSE and R2 score.

I will use ICO Coffee Dataset (Worldwide) kaggle dataset for my analysis and predictions.

Please assign me this issue as a part of DCP'21

Campus Placement Analysis & Prediction.

Title

Campus Placement Analysis & Prediction using ML.

Aim

To analyze various factors and predict salary offered to candidates during campus placements using machine learning algorithm.

Dataset to be used.

https://www.kaggle.com/benroshan/factors-affecting-campus-placement

Approach to be followed

  • Step 1 Data preprocessing & exploration.
  • Step 2 Data Visualization
  • Step 3 Data Training & model creation.
  • Step 4 Performance evaluation using error & accuracy check.

Please assign me this under DevIncept'21

Adding Outlier Detection using PyOD

Hi, I'm a contributor at DevIncept Contributor Program'21. I want to add an outlier detection algorithm that uses the PyOD library. This library has many ML/DL algos for getting outliers. If it's fine, can you assign me this task?

Add Issue + PR Templates

Description

Create a custom Issue and Pull Request Template.

Additional Details

  • Make an Issue Template. Any new Contributor must be able to specify if it is a new script or enhancement to an older one. It should also be specified which language he is coding it in.
  • Make a Pull Request Template. Any new Contributor must be able to specify if he has met all the requirements like Clean Code, proper README and Documentation, Screenshots (If any) attached and more.

You can take inspiration from here and check this out to know how to achieve the same.

Password Strength Classication.

Title

Password Strength Classification using ML.

Aim

To classify strength of password as three values(0 , 1 , 2) i.e. 0 for weak, 1 for medium, 2 for strong using machine learning algorithm.

Dataset to be used.

https://www.kaggle.com/bhavikbb/password-strength-classifier-dataset

Approach to be followed

  • Step 1 Data preprocessing & exploration.
  • Step 2 Data Visualization
  • Step 3 Data Training & model creation.
  • Step 4 Performance evaluation using error & accuracy check.

Please assign me this under DevIncept'21

Airline Passenger Satisfaction

TITLE - Airline Passenger Satisfaction

Assignee - 'Soumayan-pal01'

AIM of the project

The aim of this project is to perform analysis of the passenger satisfaction data and data preprocessing to prepare the data and predict whether the passenger is satisfied or not with the airline services.

Real Estate Price Prediction

Define You:

  • DevIncept Participant
  • Contributor

Is your feature request related to a problem? Please describe.

  • I want to contribute Real Estate Price Prediction using different algorithms such as linear regression, decision tree regressor, random forest regressor etc.

Describe the solution you'd like...

I would follow steps:

  • Step 1 Data Preprocessing and exploration.
  • Step 2 Data Cleaning(This is an optional step, if there are any missing or null values in the data, replace or remove them)
  • Step 3 Model Creation using different algorithms.
  • Step 4 Lastly a performance check using accuracy & error check to find out algorithm works best.

@Ayush7614 Please assign it to me.

Olympic Medal Prediction

I want to add model of Olympic Medal Prediction to predict whether a given athlete will win the medal or not at the Olympics based on their characteristics. I will different classification machine learning algorithms and compare their accuracy.

I will use 120 years of Olympic history: athletes and results kaggle dataset for predictions.

Dataset Link:
https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results

Please assign me this issue as a part of DCP'21.

Add a Code of Conduct

Description

Create a Code of Conduct which the Mentors and Participants must abide by.

Additional Details

  • Mention the Standards which everyone should abide by on welcoming and inclusive language including constructive criticism.
  • Add the required responsibilities for Project Maintainers.
  • Mention the Scope of this Code of Conduct.

Credit Card Fraud Detection

TITLE - Credit Card Fraud Detection

Assignee - 'Soumayan-pal01'

AIM of the project

The aim of the project is to predict fraudulent credit card transactions using machine learning models.This analysis and prediction is important for a bank as each fraud trancastion is a loss of the bank as well as customer faith. The dataset contains transactions made by credit cardholders.

Face Mask Detection

TITLE - Face Mask Detection

Assignee - 'Soumayan-pal01'

AIM of the project

This a Face Mask Detection project that uses both Haar Cascades and Caffe framework approaches for face detection and a finetuned MobileNetV2 model to detect masks on face taking real time video stream as input.

Approches used

  • Transfer learning of MobileNetV2 model.
  • OpenCV face detection using HaarCascades approach
  • Face detection using Caffe framework

Predict Future Sales

  1. Let's visualize the time-series elements of the data to understand the patterns.
  2. The input dimension of the model learned with Train data should be well thought out and predicted with Test data.
  • The task is to forecast the total amount of products sold in every shop for the test set. Note that the list of shops and products slightly changes every month. Creating a robust model that can handle such situations is part of the challenge.

Dataset:

https://www.kaggle.com/c/competitive-data-science-predict-future-sales/data

Assign me this issue under DevIncept'21.

Loan Prediction Problem Dataset

About the data

Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set.

Dataset

https://www.kaggle.com/altruistdelhite04/loan-prediction-problem-dataset

Uber Fare Prediction

TITLE - Uber Fare Prediction

Assignee - 'Soumayan-pal01'

AIM of the project

The main objective of project is to design an algorithm which will tell the fare to be charged for a passenger. Multiple machine learning algorithms have been used to develop a regression model.

Used Car price prediction

I want to create a project to predict used car prices , comparing various parameter's like age, condition etc.
I plan to use Decision Tree Regressor and other similar models to predict the prices.

I will be using CARDEKHO used car data set from Kaggle for my analysis and predictions.

Please , Assign me this issue as part of Devincept 21.

Added a CONTRIBUTING.md

Description

Create Contributors Guideline to help new Contributors get started with this Project.

Additional Details

  • Add a CONTRIBUTING.md to allow new users to get started with knowing how to contribute.
  • Add Screenshots wherever possible.
  • Add the basic information about creating Issues, Pull Requests and Branching.
  • Mention tutorials related to Git and Github to help them better understand.

You can use the content on the Notion Workspace as a reference for the Tutorial Links.

Stock Price Prediction

Stock Price Prediction using Machine learning

Name: Shivam Ravi
Please assign it to me under Dcp21

Image Compression using Clustering

TITLE - Image Compression using Clustering

Assignee - 'Soumayan-pal01'

AIM of the project

This is a image compression algorithm where clustering approach has been used to reduce the color vectors of the image to k colors.

Implementing Text Summarizers

I want to contribute to this project under DCP'21
I want to add the implementation of various text summarizers like gensim, Lex, TextRank, etc.

@Ayush7614 Please assign this issue to me

FACE_EYE_DETECTION

I want to contribute to your project under DCP'21
I want to add Face_eye and nose Detection part to your repository with the help of open cv and Python

@Ayush7614 Kindly assign this issue to me :)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.