Diamond Price Prediction Using Machine Learning | Machine Learning Projects|Data Science| Inttrvu.ai

Welcome to our tutorial on predicting diamond prices using machine learning techniques! In this video, Mr. Rohit Mande (Founder of Inttrvu.ai) will dive deep into the world of data science and explore how to build a predictive model that estimates diamond prices based on various factors. Diamonds, with their unique characteristics and market complexities, present an exciting challenge for predictive modeling. With the power of machine learning algorithms, we'll uncover patterns and factors influencing diamond prices, enabling us to make accurate predictions. Topics Covered In this machine learning tutorial: -Data collection and preprocessing: We'll discuss how to gather relevant data on diamond attributes and prepare it for analysis. -Exploratory data analysis: Learn how to visualize and understand the relationships between different features of diamonds. -Feature engineering: Discover techniques to extract valuable insights from the data and enhance the predictive power of our model. -Model selection and training: We'll explore various machine learning algorithms such as linear regression, decision trees, and ensemble methods to find the best model for our task. -Evaluation and optimization: Understand how to evaluate the performance of our model and fine-tune its parameters for better accuracy. Whether you're a beginner looking to dive into the world of machine learning or an experienced data scientist seeking to enhance your skills, this tutorial has something for everyone. By the end of this video, you'll have the knowledge and tools to build your own diamond price prediction model and unlock valuable insights in the jewellry industry. Don't forget to subscribe to our channel for more exciting tutorials on machine learning, data science, and AI projects! Video Timestamps: 00:00 Introduction 03:15 Step 1 : Data Gathering 04:13 Step 2 : EDA 10:15 Step 3 : Train test split & data scaling 12:03 Step 4 : Fit & evaluate model 17:39 Step 5 : Get important features About Us: Rohit Mande is Founder and CEO of inttrvu.ai. He has 10+ years of professional experience as a Data Scientist. In his previous role as 'Chief Data Scientist at Barclays' he was leading a team of Data Scientists. He has done his Masters from Technical University of Darmstadt, Germany in 2013-2015. He is also having published patent applications listed on Google Patents. He is passionate about helping people in transitioning to Data Science role. Website : https://inttrvu.ai/ Instagram :https://www.instagram.com/inttrvu.ai/ LinkedIn :https://www.linkedin.com/in/rohit-mande-15a3a154/ Mail: [email protected] Contact Number: +91 7756043707 Address: Sr.No.19, Office no. 307, Acharya House, Plot No.24, 12/1, Bavdhan, Pune, Maharashtra 411021 #machinelearning #machinelearningproject #itindustry #datascientist #diamond #datascience