Mobile price prediction #python #classification #datascience #machinelearning

Welcome to our latest data analysis and machine learning project on mobile price prediction! In this video, we'll take you through the entire process of predicting in which class the mobile should be present based on the data provided in a CSV file. Our goal is to achieve the highest accuracy in predicting the mobile price, and then optimize the best model for even better results.

📊 Data Preparation:
We'll start by exploring and cleaning the dataset. We'll discuss the features, perform data visualization, and handle missing values to ensure our data is ready for analysis.

🛠️ Model Selection:
We'll walk you through the process of selecting the right machine learning models for this task. Decision trees, random forests, logistic regression, and support vector machines are just a few of the models we'll be experimenting with.

📈 Model Training and Evaluation:
Watch as we train and evaluate each model to determine its accuracy and performance in predicting campus placements. We'll share our insights and results as we go along.

🔍 Model Optimization:
But that's not all! To enhance the accuracy further, we will dive into model optimization techniques. We'll discuss hyperparameter tuning, cross-validation, and other methods to squeeze out the best possible predictions from our data.

📉 Results and Conclusion:
After thorough analysis and optimization, we'll reveal which model performed the best in predicting campus placements. You'll get to see the final accuracy scores and what insights we've gained from this exciting project.

Whether you're a data science enthusiast, a student preparing for campus placements, or just someone curious about predictive modeling, this video will provide you with valuable insights and skills to apply in your own data analysis projects.

Don't forget to like, share, and subscribe to stay updated with our latest data science and machine learning tutorials. If you have any questions or suggestions, please leave them in the comments section below. Thanks for watching, and let's dive into the world of campus placement prediction and optimization! 🚀📊💼
Kaggle Dataset Link :- www.kaggle.com/datasets/iabhishekofficial/mobile-p…

Kaggle Notebook Link :- www.kaggle.com/code/gauranggupta123/mobile-price-p…

0:00 :- Introduction
0:55 :- Importing libraries
5:22 :- Loading the data
6:51 :- Data preprocessing
7:37 :- Training and testing of different models
14:29 :- Optimizing best model
17:03 :- Model evaluation
18:42 :- Predicting values for test file

#classification #python #datascience #machinelearning