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Machine Learning Committee

Machine Learning Committee

Learn. Train. Build. Deploy.

Empowering students with practical Machine Learning skills through workshops, real-world datasets, model development, deployment projects, and collaborative learning experiences.

Highlights

Data Processing Workshop

Practical Data Handling

Deployed Project

Laptop Price Predictor

Live Machine Learning App

Deployed Project

Used Car Price Prediction

End-to-End ML Pipeline

Tasks

Model Evaluation

5 Structured Assignments

Achievements

Professional Certifications

Data Cleaning & Preprocessing

Practical Industry-Oriented Learning

The Machine Learning Committee focuses on Data Science, AI, Data Analysis, and Practical Model Development.

Members are trained through workshops, doubt resolution sessions, structured assignments, model development tasks, real-world datasets, deployment projects, and collaborative learning activities. The committee follows a practical learning approach where members progress from data preprocessing and visualization to model training, evaluation, and complete deployment of machine learning solutions.

Data Processing & Viz

Members master real-world data handling, cleaning, and exploratory data analysis to prepare datasets for ML.

Model Training

From basic regressions to complex algorithms, students implement, evaluate, and compare diverse machine learning models.

Live Deployment

Learning extends beyond notebooks. Members deploy complete ML pipelines using Streamlit, Flask, and cloud platforms.

Collaborative Research

We conduct doubt sessions, presentations, and peer-reviewed tasks to foster a robust research and engineering culture.

Machine Learning Committee Impact

A snapshot of what our committee has achieved through consistent project execution.

5
Structured Tasks Conducted
4
Live ML Applications Deployed
1
Workshops Conducted
1
Doubt Resolution Sessions
4+
Real-World Dataset Projects
100%
Practical Learning Focus

Technologies & Expertise

We master a variety of data engineering and machine learning tools to build robust models.

Data Engineering

Pandas, NumPy, Scipy, Data Cleaning, Outlier Handling, Feature Engineering

Machine Learning

Scikit-Learn, Supervised Learning, Model Evaluation, Hyperparameter Tuning, Classification, Regression

Deployment & Apps

Streamlit, Flask, FastAPI, Render, Hugging Face Spaces, GitHub

Workshop & Structured Tasks

After conducting the Machine Learning workshop, members were assigned a series of progressively challenging tasks focused on practical Machine Learning implementation.

Machine Learning Workshop CertificateWorkshop Certificate

Machine Learning Workshop Certificate

Awarded to students for successfully completing the hands-on Data Processing and Data Cleaning workshop.

7 February 2025
View Details
Data Preprocessing, Visualization & Model TrainingStructured Task

Data Preprocessing, Visualization & Model Training

A practical assignment focused on real-world data handling and analysis.

September 202516 Submissions
View Task Details
Model Training Assignment – Phase 2Structured Task

Model Training Assignment – Phase 2

Students were required to train five distinct Machine Learning models on the provided dataset.

September 202511 Submissions
View Task Details
Dataset Switching & Comparative Model TrainingStructured Task

Dataset Switching & Comparative Model Training

Students switched datasets and retrained models for comparative learning.

October 20259 Submissions
View Task Details
Advanced Dataset Processing & Model EvaluationStructured Task

Advanced Dataset Processing & Model Evaluation

Students completed advanced preprocessing and applied multiple Machine Learning algorithms.

22 December 202515 Submissions
View Task Details
Machine Learning Model Deployment with Frontend & BackendStructured Task

Machine Learning Model Deployment with Frontend & Backend

Members deployed complete Machine Learning applications including frontend, backend, APIs, and hosting platforms.

February 2026
View Task Details

Featured Deployed Projects

Members successfully deployed complete Machine Learning applications including frontend, backend, APIs, and hosting platforms.

Laptop Price PredictorMachine Learning Deployment

Laptop Price Predictor

Developer: Satvik Sharma

Visit Live App
Used Car Price PredictionMachine Learning Deployment

Used Car Price Prediction

Developer: Saurabh Sharma

Visit Live App
Laptop Price Predictor appMachine Learning Deployment

Laptop Price Predictor app

Developer: Saurabh Kumar Jha

Visit Live App
Used Car Price Prediction appMachine Learning Deployment

Used Car Price Prediction app

Developer: Shivanshi Sharma

Visit Live App

Workshops & Presentations

Our events, doubt resolution sessions, and presentation workshops.

01
Orientation Session
18 September 2025

Orientation Session

An interactive presentation session conducted with first-year students to introduce DCodersSquad, showcase committee activities, achievements, and ongoing initiatives.

Highlights:
  • Team Introduction
  • Committee Overview
  • Achievements Showcase
  • Student Engagement
  • Future Opportunities Discussion
02
Doubt Resolution Session – Machine Learning Club
20 September 2025

Doubt Resolution Session – Machine Learning Club

A dedicated session conducted to address doubts regarding data preprocessing, visualization, model training, and common submission errors.

Highlights:
  • Interactive Discussion
  • Concept Clarification
  • Submission Review
  • Future Guidance
  • Research Opportunities Discussion
03
Data Processing and Cleaning Workshop
7 February 2025

Data Processing and Cleaning Workshop

A hands-on Machine Learning workshop focused on Data Processing and Data Cleaning techniques.

Topics Covered:
  • Reading Data Files & Data Labeling
  • Handling Missing & Duplicate Values
  • Feature Engineering & One-Hot Encoding
  • Outlier Handling & Dataset Preparation
  • Libraries: Pandas, NumPy, Scikit-Learn, Scipy
01
Orientation Session
18 September 2025

Orientation Session

An interactive presentation session conducted with first-year students to introduce DCodersSquad, showcase committee activities, achievements, and ongoing initiatives.

Highlights:
  • Team Introduction
  • Committee Overview
  • Achievements Showcase
  • ...and more
02
Doubt Resolution Session – Machine Learning Club
20 September 2025

Doubt Resolution Session – Machine Learning Club

A dedicated session conducted to address doubts regarding data preprocessing, visualization, model training, and common submission errors.

Highlights:
  • Interactive Discussion
  • Concept Clarification
  • Submission Review
  • ...and more
03
Data Processing and Cleaning Workshop
7 February 2025

Data Processing and Cleaning Workshop

A hands-on Machine Learning workshop focused on Data Processing and Data Cleaning techniques.

Milestones & Successes

Celebrating the hard work and accomplishments of our members.

5 Structured Tasks Conducted
Live ML Applications Deployed
Real-World Dataset Projects Completed
Student Deployment Projects Showcased

Modern stack, real deployments

The committee works with a modern data science toolkit to build and deploy models.

PythonPython
PandasPandas
NumPyNumPy
Scikit-LearnScikit-Learn
FastAPIFastAPI
FlaskFlask
GitGit

What our members say

Hear directly from the students building our models.

Learning Flutter with the App Development Committee completely changed my perspective on mobile tech. Building my first cross-platform app was an incredible experience.

AC
Anant ChauhanApp Developer

The team collaboration here is unmatched. We pair program, review each other's code, and deploy real apps. It feels like a real startup environment.

R
RiyaMember

Participating in the App Hackathon was intense but rewarding. We built a working prototype in 48 hours with Firebase and React Native!

KS
Keshav SharmaApp Developer

Mentorship in this committee is fantastic. From learning UI/UX design to publishing on the Play Store, I was guided every step of the way.

L
LoveshMember

Building real projects like the Smart Attendance App gave me the confidence to take on industry-level challenges. A truly transformative journey.

DR
Deepanshi RajputMember

Learning Flutter with the App Development Committee completely changed my perspective on mobile tech. Building my first cross-platform app was an incredible experience.

AC
Anant ChauhanApp Developer

The team collaboration here is unmatched. We pair program, review each other's code, and deploy real apps. It feels like a real startup environment.

R
RiyaMember

Participating in the App Hackathon was intense but rewarding. We built a working prototype in 48 hours with Firebase and React Native!

KS
Keshav SharmaApp Developer

Mentorship in this committee is fantastic. From learning UI/UX design to publishing on the Play Store, I was guided every step of the way.

L
LoveshMember

Building real projects like the Smart Attendance App gave me the confidence to take on industry-level challenges. A truly transformative journey.

DR
Deepanshi RajputMember

The hands-on sessions on API integration and state management were eye-opening. I now understand how to build scalable mobile backends.

RS
Rudraa SinghMember

Being part of the App Development Committee has been an inspiring journey of creativity, collaboration, and meaningful digital innovation.

P
PragyaTeam Lead

Working with Supabase and Flutter made me realize how fast we can iterate and launch products. The learning curve is steep but so worth it.

MB
Monika BeniwalMember

The UI/UX design challenges pushed me to think beyond code and focus on the end-user experience. It made me a better all-round developer.

AK
Aditya Raj KeshriMember

Deploying our first team app to the Play Store was a surreal moment. It validated all the late-night coding sessions and debugging.

H
HansikaMember

The hands-on sessions on API integration and state management were eye-opening. I now understand how to build scalable mobile backends.

RS
Rudraa SinghMember

Being part of the App Development Committee has been an inspiring journey of creativity, collaboration, and meaningful digital innovation.

P
PragyaTeam Lead

Working with Supabase and Flutter made me realize how fast we can iterate and launch products. The learning curve is steep but so worth it.

MB
Monika BeniwalMember

The UI/UX design challenges pushed me to think beyond code and focus on the end-user experience. It made me a better all-round developer.

AK
Aditya Raj KeshriMember

Deploying our first team app to the Play Store was a surreal moment. It validated all the late-night coding sessions and debugging.

H
HansikaMember

Questions before you join

Everything you need to know about the committee, tasks, and participation.

Who can join the Machine Learning Committee?
Do I need prior Machine Learning experience?
Which technologies will I learn?
Will I work on real datasets?
Will I build and deploy real ML projects?

Leadership driving the committee

Experienced leads guiding projects, mentoring members, and delivering results.

Pulkit Goyal

Pulkit Goyal

Team Lead

Machine Learning Lead guiding data science projects, model architecture, and mentorship programs.

Muhmmad Shaban

Muhmmad Shaban

Team Lead

Machine Learning Lead focused on model evaluation, training, and algorithmic problem solving.

Dedicated builders powering execution

The core team collaborates across projects, reviews, and delivery cycles.

Harshit Dubey

Core Member

Machine Learning

Ishika Awasthi

Core Member

Machine Learning

Love Tyagi

Core Member

Machine Learning

Mishti Verma

Core Member

Machine Learning

Mohd.Raza

Core Member

Machine Learning

Mohd.Shahzeb

Core Member

Machine Learning

Nancy Saini

Core Member

Machine Learning

Pranav Pandey

Core Member

Machine Learning

Priyashi

Core Member

Machine Learning

Radha Pandey

Core Member

Machine Learning

Riya Choudhary

Core Member

Machine Learning

Sakshi Bhist

Core Member

Machine Learning

Sanjeevni Tyagi

Core Member

Machine Learning

Saurabh Kumar Jha

Core Member

Machine Learning

Saurabh Sharma

Core Member

Machine Learning

Shiv Bhatia

Core Member

Machine Learning

Shivanshi Sharma

Core Member

Machine Learning

Shreya

Core Member

Machine Learning

Abhinav Sohi

Core Member

Machine Learning

HANSIKA

Core Member

Machine Learning

Ridanshu

Core Member

Machine Learning

Satvik Sharma

Core Member

Machine Learning

Khushi Rani

Core Member

Machine Learning

Build. Learn. Collaborate. Grow.

Join a community of passionate developers working on real-world datasets while learning modern machine learning technologies.