100+ Machine Learning Projects with Source Code [2024]

Machine Learning gained a lot of popularity and become a necessary tool for research purposes as well as for Business. It is a revolutionary field that helps us to make better decisions and automate tasks. Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed.

In this article, you’ll find the top 100+ latest Machine Learning projects and Ideas which are beneficial for both beginners and as well experienced professionals. Whether you’re a final-year student aiming for a standout resume or someone building a career, these machine learning projects provide hands-on experience, launching you into the exciting world of Machine Learning and Data Science.

Top Machine Learning Project with Source Code [2024]

We mainly include projects that solve real-world problems to demonstrate how machine learning solves these real-world problems like: – Online Payment Fraud Detection using Machine Learning in Python, Rainfall Prediction using Machine Learning in Python, and Facemask Detection using TensorFlow in Python.

These projects provide a great opportunity for developers to apply their knowledge of machine learning and make an application that benefits society. By implementing these projects in data science, you be familiar with a practical working environment where you follow instructions in real time.

Machine Learning Project for Beginners in 2024 [Source Code]

Let’s look at some of the best new machine-learning projects for beginners in this section and each project deals with a different set of issues, including supervised and unsupervised learning, classification, regression, and clustering. Beginners will be better prepared to tackle more challenging tasks by the time they have finished reading this article and have a better understanding of the fundamentals of machine learning.

1. Healthcare

• Disease Prediction Using Machine Learning
• ML | Heart Disease Prediction Using Logistic Regression
• Prediction of Wine type using Deep Learning
• Parkinson’s Disease Prediction using Machine Learning in Python
• ML | Kaggle Breast Cancer Wisconsin Diagnosis using Logistic Regression
• ML | Cancer cell classification using Scikit-learn
• ML | Kaggle Breast Cancer Wisconsin Diagnosis using KNN and Cross-Validation
• Autism Prediction using Machine Learning

2. Finance and Economics

• Credit Card Fraud Detection
• Dogecoin Price Prediction with Machine Learning
• Zillow Home Value (Zestimate) Prediction in ML
• Bitcoin Price Prediction using Machine Learning in Python
• Online Payment Fraud Detection using Machine Learning in Python
• Stock Price Prediction using Machine Learning in Python
• Stock Price Prediction Project using TensorFlow
• Microsoft Stock Price Prediction with Machine Learning
• Predicting Stock Price Direction using Support Vector Machines
• Share Price Forecasting Using Facebook Prophet

3. Food and Beverage

• Wine Quality Prediction

4. Retail and Commerce

• Sales Forecast Prediction – Python
• Customer Segmentation using Unsupervised Machine Learning in Python
• Analyzing selling price of used cars using Python
• Box Office Revenue Prediction Using Linear Regression in ML
• Flipkart Reviews Sentiment Analysis using Python
• Loan Approval Prediction using Machine Learning
• Loan Eligibility prediction using Machine Learning Models in Python
• House Price Prediction using Machine Learning in Python
• ML | Boston Housing Kaggle Challenge with Linear Regression

5. Sports

• IPL Score Prediction Using Deep Learning

6. Health and Fitness

• Calories Burnt Prediction using Machine Learning
• Medical Insurance Price Prediction using Machine Learning in Python

7. Transportation and Traffic

• Vehicle Count Prediction From Sensor Data
• Ola Bike Ride Request Forecast using ML

8. Environmental Science

• Rainfall Prediction using Machine Learning in Python

9. Text and Image Processing

• Detecting Spam Emails Using Tensorflow in Python
• SMS Spam Detection using TensorFlow in Python
• Python | Classify Handwritten Digits with Tensorflow
• OCR of Handwritten digits | OpenCV
• Recognizing HandWritten Digits in Scikit Learn
• Identifying handwritten digits using Logistic Regression in PyTorch
• Cartooning an Image using OpenCV – Python
• Count number of Object using Python-OpenCV
• Count number of Faces using Python – OpenCV
• Text Detection and Extraction using OpenCV and OCR
• CIFAR-10 Image Classification in TensorFlow
• Black and white image colorization with OpenCV and Deep Learning
• Handwritten Digit Recognition using Neural Network

10. Social Media and Sentiment Analysis

• Twitter Sentiment Analysis using Python
• Facebook Sentiment Analysis using python

11. Other Important Machine Learning Projects

• Human Scream Detection and Analysis for Controlling Crime Rate
• Spaceship Titanic Project using Machine Learning in Python
• Inventory Demand Forecasting using Machine Learning in Python
• Waiter’s Tip Prediction using Machine Learning
• Fake News Detection using Machine Learning
• Fake News Detection Model using TensorFlow in Python
• Predict Fuel Efficiency Using Tensorflow in Python

Advanced Machine Learning Projects With Source Code [2024]

We have discussed a variety of complex machine-learning ideas in this section that are intended to be challenging for users and span a wide range of topics. These subjects involve creating deep learning models, dealing with unstructured data, and instructing sophisticated models like convolutional neural networks, gated recurrent units, large language models, and reinforcement learning models.

1. Image and Video Processing

• Multiclass image classification using Transfer learning
• Image Caption Generator using Deep Learning on Flickr8K dataset
• FaceMask Detection using TensorFlow in Python
• Dog Breed Classification using Transfer Learning
• Flower Recognition Using Convolutional Neural Network
• Cat & Dog Classification using Convolutional Neural Network in Python
• Traffic Signs Recognition using CNN and Keras in Python
• Residual Networks (ResNet) – Deep Learning
• Lung Cancer Detection using Convolutional Neural Network (CNN)
• Lung Cancer Detection Using Transfer Learning
• Black and white image colorization with OpenCV and Deep Learning
• Pneumonia Detection using Deep Learning
• Detecting Covid-19 with Chest X-ray
• Detecting COVID-19 From Chest X-Ray Images using CNN
• Image Segmentation Using TensorFlow

2. Recommendation Systems

• Ted Talks Recommendation System with Machine Learning
• Python | Implementation of Movie Recommender System
• Movie recommendation based on emotion in Python
• Music Recommendation System Using Machine Learning

3. Speech and Language Processing

• Speech Recognition in Python using Google Speech API
• Voice Assistant using python
• Next Sentence Prediction using BERT
• Hate Speech Detection using Deep Learning
• Fine-tuning the BERT model for Sentiment Analysis
• Sentiment Classification Using BERT
• Sentiment Analysis with Recurrent Neural Networks (RNN)
• Autocorrect Feature Using NLP In Python
• Python | NLP analysis of Restaurant reviews
• Restaurant Review Analysis Using NLP and SQLite

4. Health and Medical Applications

• Skin Cancer Detection using TensorFlow
• Heart Disease Prediction using ANN

5. Security and Surveillance

• Intrusion Detection System Using Machine Learning Algorithms
• License Plate Recognition with OpenCV and Tesseract OCR
• Detect and Recognize Car License Plate from a video in real-time

6. Gaming and Entertainment

• AI-Driven Snake Game using Deep Q Learning

7. Other Advanced Machine Learning Projects

• Age Detection using Deep Learning in OpenCV
• Face and Hand Landmarks Detection using Python
• Human Activity Recognition – Using Deep Learning Model
• How can Tensorflow be used with the abalone dataset to build a sequential model?

Machine Learning Projects – FAQs

What are some good machine-learning projects?

For beginners, recommended machine learning projects include sentiment analysis, sales forecast prediction, and image recognition.  

How do I start an ML project?

To start a machine learning project, the first steps involve collecting data, preprocessing it, constructing data models, and then training those models with that data.

Which Language is used for machine learning?

Python and R are most popular and widely-used programming languages for machine learning.

Why do we need to build machine learning projects?

We need to build machine learning projects to solve complex problems, automate tasks and improve decision-making.

What is the future of machine learning?

Machine learning is a fast-growing field of study and research, which means that the demand for machine learning professionals is also growing. 

kumar_satyam

Follow

Improve