ML Project 1 - Electricity Demand Prediction Model using Python Coding (Start-to-End Project) #ml

📩 Download All Projects Source Codes + Datasets : https://rzp.io/rzp/all15projects 👉Connect with me on LinkedIn - https://www.linkedin.com/in/rohit-grewal Download Project (Python Code & Dataset) - https://rzp.io/rzp/ml-project-electricity Purchase - Python Data Analysis Self Study Notes & All Projects Source Codes (Rs.199 only) - https://rzp.io/l/dslnotes239 ------------------------------------------------------------ Watch our videos in Hindi on new channel: https://www.youtube.com/@ITCoursesEasy ------------------------------------------------------------ Enrol in our Udemy courses : 1. Python Data Analytics 13 Projects - https://www.udemy.com/course/bigdata-analysis-python/?referralCode=F75B5F25D61BD4E5F161 2. Python For Data Science - https://www.udemy.com/course/python-for-data-science-real-time-exercises/?referralCode=9C91F0B8A3F0EB67FE67 3. Numpy For Data Science - https://www.udemy.com/course/python-numpy-exercises/?referralCode=FF9EDB87794FED46CBDF -------------------------------------------- In this project, you will learn how to build a Machine Learning model with Python. We will build a XGBoost Model that will help us in forecasting of electricity demand in a city. You will learn how to handle time-series data, create powerful features, train a machine learning model and and evaluate its performance. Here, we have used a synthetic historical data of last 5 years. Based on this data we will predict the future demand using our model. This is a time series dataset with Per Hour information. In this dataset, we have multiple useful columns like - Temperature, Humidity, Demand etc. From the datetime column, we created other useful columns like day_of_year, week_of_year, is_weekend, is_holiday etc. We have used the line chart, box plot for visualization. Key Learnings: Time Series Data Handling Feature Engineering for Demand Forecasting Machine Learning (XGBoost) for Prediction Model Evaluation (RMSE, MAE) Understanding Energy Consumption Patterns We will make use of : Python: The core programming language Pandas: Data manipulation and analysis NumPy: Numerical operations Matplotlib & Seaborn: Data visualization Scikit-learn: Machine learning utilities XGBoost: Gradient Boosting for robust predictions Holidays: For national holiday data -------------------------------------------------------- Download Free Core Python Notes - https://datasciencelovers.graphy.com/products/Core-Python-Notes-64d116f7c7a9985f7b99a5bf?dgps_s=dsh&dgps_u=c&dgps_uid=64cb5694e4b000cf748a30c2&dgps_t=cp_m -------------------------------------------------------------- You must check our other Projects : Machine Learning : Project 2 : Loan Approval Prediction - https://youtu.be/pPZ3G0vz23o Data Analytics: Project 15 - E-commerce Data Analysis - https://youtu.be/Szvc57nPTkk Project 14 - https://youtu.be/TLIotspGcng Project 13 - HR Data Analytics - https://youtu.be/fykrwQD3HR4 Project 12 - AI Market Financial Data Analysis - https://youtu.be/WmJYHz_qn5s Project 11 - Airlines' Flights Data Analysis - https://youtu.be/gu3Ot78j_Gc Project 10 - Spotify-YouTube Data Analysis - https://youtu.be/xqtbBosGMl0 Project 9 - https://youtu.be/dQwnyCEZ-UU Project 8 - https://youtu.be/b7Kd0fLwgO4 Project 7 - https://youtu.be/AO5uhxa1R84 Project 6 - https://youtu.be/e1zKFSrKeLs Project 5 - https://youtu.be/q-Omt6LgRLc Project 4 - https://youtu.be/89eYAAPyRfo Project 3 - https://youtu.be/GyUbo45mVSE Project 2 - https://www.youtube.com/watch?v=fhiUl7f5DnI Project 1 - https://youtu.be/4hYOkHijtNw ------------------------------------------------------------------ Contact Mail Id : datasciencelovers@gmail.com Thanks all ! Don't forget to subscribe to get notifications of next projects.