ProjectWithSourceCodes
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Projects with source code | Android | Java | LLM | Python | Ai | JSP | Php |

Website https://updategadh.com
Admin https://t.me/Rishabhsaini0204
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May 22
May 23
🧾 Health Insurance Cost Predictor using Python & ML
Want to build a practical, real-world ML project? Learn how to predict medical insurance costs using features like age, gender, BMI, smoker status & more.

This hands-on blog shows you:
πŸ“ˆ Regression techniques for cost prediction
🧠 Feature engineering for healthcare data
πŸ” Training ML models on real-world datasets
πŸ’‘ Perfect academic/final-year Python + ML project!

🎯 Ideal for:
βœ… Final Year CS/IT/BCA/MCA Students
βœ… Machine Learning Beginners
βœ… Project-based Learning & Hackathons

πŸ“š Full Blog + Source Code:
πŸ”— https://updategadh.com/python-projects/health-insurance-cost-predictor/

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πŸ“² Want More Python + ML Projects?
Join our Telegram for free source code + tutorials:
πŸ‘‰ t.me/Projectwithsourcecodes

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May 23
πŸ”„ Convert JSON into Pandas DataFrame – Simplified for Beginners!

Working with JSON data in Data Science or Web APIs? Learn how to easily convert JSON files into Pandas DataFrames for analysis and ML workflows.

πŸ“˜ What You’ll Learn in This Blog:
βœ… Read JSON data into Python
βœ… Flatten nested JSON structures
βœ… Use pd.json_normalize() & pd.read_json()
βœ… Tips for handling real-world API responses
βœ… Step-by-step code examples

🧠 Perfect For:
βœ”οΈ Python + Data Science Students
βœ”οΈ Web & API Data Handling
βœ”οΈ Final Year Projects & Internships

πŸ”— Read the Full Tutorial Here:
https://updategadh.com/data-science-tutorial/convert-json-into-a-pandas-dataframe/

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πŸ“² Want More Hands-on Python & Data Projects?
Join our Telegram channel for source code, tutorials & updates:
πŸš€ t.me/Projectwithsourcecodes

#JSONtoDataFrame #PandasTutorial #PythonProjects #DataScienceBeginners #FinalYearProject #UpdateGadh #MLTools #PythonForDataScience #TelegramLearning
May 24
May 24
🏠 House Price Prediction with Python & Machine Learning
Unlock the power of data science with this real-world regression project designed for students and aspiring ML developers.

This project focuses on predicting housing prices based on features like area, number of rooms, location, and more using a trained ML model.

πŸ“Œ What You’ll Learn:
β€’ Data Cleaning & Feature Engineering
β€’ Exploratory Data Analysis (EDA)
β€’ Regression Modeling with Scikit-learn
β€’ Model Evaluation & Metrics
β€’ Real Estate Dataset Handling

🎯 Best For:
βœ”οΈ Final Year Students (BCA, MCA, B.Tech, etc.)
βœ”οΈ Data Science & Python Beginners
βœ”οΈ Anyone looking to strengthen their ML project portfolio

πŸ“₯ Full Source Code + Tutorial:
πŸ‘‰ https://updategadh.com/pythonfreeproject/house-price-prediction/

πŸ“² Get more projects like this:
Join Telegram πŸ‘‰ t.me/Projectwithsourcecodes
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May 24
⏱️ Mastering Time Series Classification – Key Algorithms You Need to Know

Time series classification is essential in domains like finance, healthcare, IoT, and forecasting. If you're working with temporal data, understanding the right classification techniques is crucial.

🧠 This Blog Post Covers:
πŸ“Œ What is Time Series Classification?
πŸ“Œ Key Challenges with Sequential Data
πŸ“Œ Top Algorithms:
β€ƒβœ”οΈ Dynamic Time Warping (DTW)
β€ƒβœ”οΈ k-NN for Time Series
β€ƒβœ”οΈ Random Forest & Shapelets
β€ƒβœ”οΈ Deep Learning Methods (RNN, LSTM, CNN)
πŸ“Œ Real-World Applications
πŸ“Œ Tips for Model Selection

🎯 Ideal For:
βœ”οΈ ML & AI Students and Enthusiasts
βœ”οΈ Professionals in Predictive Analytics
βœ”οΈ Final Year Project Seekers
βœ”οΈ Anyone dealing with time-dependent data

πŸ“š Read Full Article:
πŸ‘‰https://updategadh.com/machine-learning-tutorial/time-series-classification-algorithms/

πŸ“² Looking for Projects & ML Tutorials?
Join our Telegram Channel:
πŸ”— t.me/Projectwithsourcecodes

#TimeSeriesClassification #MachineLearning #DeepLearning #PythonProjects #AI #ForecastingModels #FinalYearProject #UpdateGadh #ProjectwithSourceCode #LinkedInLearning #LSTM #DataScience
May 25
πŸ”‘ Categorical Data Encoding Methods – A Must-Know for Every Data Scientist

Working with real-world datasets? Chances are, you’ve come across categorical variables like β€œCity,” β€œGender,” or β€œDepartment.” Before you feed this data into machine learning models, encoding is essential.

πŸ“˜ In This Blog, You’ll Learn:
βœ… What is Categorical Data?
βœ… Difference Between Nominal vs Ordinal
βœ… Popular Encoding Techniques:
 ‒ Label Encoding
 ‒ One-Hot Encoding
 ‒ Ordinal Encoding
 ‒ Binary & Target Encoding
βœ… When to Use Which Encoding
βœ… Best Practices & Pitfalls to Avoid

πŸŽ“ Who Should Read This?
βœ”οΈ Data Science Beginners & Enthusiasts
βœ”οΈ Final-Year Engineering & MCA Students
βœ”οΈ ML Practitioners Working with Tabular Data
βœ”οΈ Bootcamp & Project-Based Learners

πŸ“– Full Blog Post:
πŸ‘‰https://updategadh.com/data-science-tutorial/categorical-data-encoding-methods/

πŸ“² Get More Projects, Code & Blogs
Join Our Telegram Channel:
πŸ”— t.me/Projectwithsourcecodes

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May 26
May 31
πŸ“š Book Recommender System – Data Science Project 🧠
Build a smart recommendation system that suggests books using real-world datasets and data science techniques. Ideal for Python learners and data science beginners!

πŸ’‘ Available Features
πŸ” User Authentication (Signup, Login, Secure Sessions)
πŸ“š Book Ratings & Reviews
🧠 Personalized Book Recommendations
πŸ“ˆ Reading History Tracking
πŸ—‚οΈ User Profile Management
πŸ“¬ Email Integration Ready
πŸ›‘οΈ Password Hashing with Security Standards
🧩 Modular Code Structure
πŸ–₯️ Admin-Ready for Expansion
βš™οΈ Built-in Flask & SQLAlchemy Integration

πŸ”— Download & Source Code:
Book Recommender System

🌟 Follow for more full-source projects:
πŸ”— https://t.me/Projectwithsourcecodes

#DataScience #PythonProjects #BookRecommender #MachineLearning #AIProjects #StudentProjects #OpenSource #CodingLife #PortfolioProject #Projectwithsourcecodes
June 2
πŸ πŸ“Š House Rent Prediction System – Python Project πŸπŸ’‘
Predict the rent of a house based on features like location, size, number of rooms, and more using Machine Learning! A practical project for real-world use cases.

πŸ” Key Features:
πŸ“ˆ Predict rent prices based on user input
🧠 Built using Python, Pandas, Scikit-learn
πŸ’» Linear Regression for price estimation
πŸ“Š Real estate data analysis
πŸ†“ Beginner-friendly & fully open source

πŸ”— Download & Source Code:
πŸ‘‰ House Rent Prediction Project

πŸ“’ Follow for more ML & data science projects with source code:
πŸ”— https://t.me/Projectwithsourcecodes

πŸš€ Learn how real estate platforms use data to drive pricing decisions!

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June 18