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Pro Data
India
Приєднався 6 лип 2019
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines techniques from mathematics, statistics, computer science, and domain-specific knowledge to analyze complex data sets.
"Predicting Laptop Prices with Machine Learning" | Python
"In this video, we explore how to use machine learning to predict laptop prices. We’ll cover data collection, preprocessing, model training, and evaluation, making it easy for you to apply these techniques to your projects."
"Learn how to forecast laptop prices using a data science approach. We delve into the entire process from data analysis to model creation, helping you make accurate predictions based on real-world data."
"Join us as we build an AI-powered laptop price predictor! This tutorial covers everything from setting up your environment to training your machine learning model and interpreting results."
"This video takes you through the process of creating a laptop price predictor using Python and machine learning. We discuss important features, modeling techniques, and ways to improve your predictions."
"Want to predict laptop prices? Watch this data science project walkthrough where we analyze data, build models, and fine-tune our predictions to estimate laptop prices accurately."
These titles and descriptions aim to attract viewers interested in machine learning, data science, and practical applications in predicting laptop prices.
"Learn how to forecast laptop prices using a data science approach. We delve into the entire process from data analysis to model creation, helping you make accurate predictions based on real-world data."
"Join us as we build an AI-powered laptop price predictor! This tutorial covers everything from setting up your environment to training your machine learning model and interpreting results."
"This video takes you through the process of creating a laptop price predictor using Python and machine learning. We discuss important features, modeling techniques, and ways to improve your predictions."
"Want to predict laptop prices? Watch this data science project walkthrough where we analyze data, build models, and fine-tune our predictions to estimate laptop prices accurately."
These titles and descriptions aim to attract viewers interested in machine learning, data science, and practical applications in predicting laptop prices.
Переглядів: 19
Відео
EXCEL | How to use split function in 2024
Переглядів 1319 годин тому
Welcome to [Pro Data] In this video, we dive into the powerful SPLIT function available in Excel 2024. Whether you’re new to Excel or an experienced user, this tutorial will guide you through: Introduction to the SPLIT Function: Learn what the SPLIT function is and why it’s useful for managing and organizing your data. Basic Syntax: Understand the syntax of the SPLIT function and how to apply i...
Full Web Scraping Tutorial on Flipkart | Python BeautifulSoup & Selenium | Step-by-Step Guide
Переглядів 5621 годину тому
Welcome to this comprehensive web scraping tutorial! In this video, we dive deep into scraping data from Flipkart, one of India's leading e-commerce websites. Whether you're a beginner or have some experience in web scraping, this step-by-step guide will help you learn how to extract product data, prices, reviews, and more using Python. What You Will Learn: Introduction to Web Scraping and its ...
"Mastering Data Cleaning in Power BI: Step-by-Step Guide"
Переглядів 19314 днів тому
"Welcome to our comprehensive tutorial on data cleaning in Power BI! In this video, we'll walk you through essential techniques and best practices to ensure your data is accurate, consistent, and ready for analysis. We'll cover: Importing data from various sources Handling missing values and duplicates Data transformation techniques Using Power Query for data cleaning Practical examples and tip...
Part - 1 | Web Scraping for Data Analytics and Data Science | Full Tutorial
Переглядів 3114 днів тому
Welcome to our comprehensive tutorial on web scraping for data analytics and data science projects! Whether you’re a beginner or looking to enhance your skills, this video will guide you through the essential steps to extract valuable data from websites and utilize it for your projects. In This Video: 🔍 Introduction to Web Scraping: What is web scraping? Why is web scraping important for data a...
Power BI tutorial for Begineers | Power BI Dashboard Project in Hindi | Power BI Course 2024
Переглядів 17521 день тому
Welcome to our comprehensive Power BI tutorial designed specifically for beginners! In this course, you'll learn how to create insightful and interactive dashboards using Power BI. We'll cover everything from the basics to advanced techniques, all in Hindi, to help you become proficient in data visualization. What You'll Learn: Introduction to Power BI and its features Importing and transformin...
How to Merge Two CSV Files in My SQL Workbench Using JOIN | Real-Time Data Tutorial
Переглядів 4621 день тому
Welcome to our tutorial on merging two CSV files using SQL JOIN for real-time data analysis! In this video, we'll walk you through: Introduction to SQL JOINs: Understand the basics of INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN. Preparing Your CSV Files: Learn how to import CSV files into a SQL database. Executing SQL Queries: Write and execute SQL queries to merge data from both fil...
Power BI tutorial for Begineers | Power BI Dashboard Project in Hindi | Power BI Course 2024
Переглядів 24328 днів тому
Welcome to our comprehensive Power BI tutorial designed specifically for beginners! In this course, you'll learn how to create insightful and interactive dashboards using Power BI. We'll cover everything from the basics to advanced techniques, all in Hindi, to help you become proficient in data visualization. What You'll Learn: Introduction to Power BI and its features Importing and transformin...
Project 15: | "Predicting Bank Subscriptions: AI Models Explained!" | Python
Переглядів 84Місяць тому
Discover how AI can transform the banking industry by predicting customer subscriptions! In this video, we dive into the data science techniques used to forecast customer behavior and improve bank offerings. Learn about the models, the data, and how businesses can leverage these insights for better decision-making. Don't forget to like, subscribe, and hit the bell icon for more tech insights!"
Part 05 | Mastering Regularization & SMOTE Techniques in Machine Learning
Переглядів 59Місяць тому
In Part 05 of our Machine Learning series, we delve into the crucial concepts of Regularization and SMOTE (Synthetic Minority Over-sampling Technique). Whether you're a beginner or looking to brush up on your skills, this video covers everything you need to know about these essential techniques. What you'll learn: Understanding Regularization: L1, L2, and Elastic Net The importance of Regulariz...
Part - 04 | Understanding Classifiers and Machine Learning Algorithms | Machine Learning Basics
Переглядів 89Місяць тому
Welcome to our channel! In this video, we delve into the world of machine learning, focusing on classifiers, their types, and a comprehensive overview of various machine learning algorithms. 🔍 What You'll Learn: Introduction to Classifiers: Definition of a classifier. The importance of classifiers in machine learning. Real-world applications of classifiers. Types of Classifiers: Binary Classifi...
Part - 03 | Understanding ROC Curve and AUC in Machine Learning
Переглядів 115Місяць тому
Welcome to our comprehensive tutorial on AUC (Area Under the Curve) and ROC (Receiver Operating Characteristic) curves in machine learning! Whether you're a beginner or an experienced data scientist, this video will help you understand these crucial evaluation metrics. In this video, you'll learn: Introduction to ROC Curves: What is a ROC curve? The significance of the true positive rate (sensi...
Part -02 | Understanding Regression and Classification in Machine Learning
Переглядів 105Місяць тому
Welcome to Part 02 of our comprehensive Machine Learning series! In this video, we dive deep into two fundamental concepts: Regression and Classification. What You'll Learn: Regression: Understand how regression algorithms predict continuous outcomes. We'll cover linear regression, polynomial regression, and more advanced techniques. Classification: Explore how classification algorithms categor...
Part - 1 | Machine Learning Explained: From Basics to Advanced Concepts
Переглядів 158Місяць тому
Welcome to our channel! In today's video, we're diving deep into the fascinating world of machine learning. Whether you're a complete beginner or looking to expand your knowledge, this comprehensive guide will help you understand the core concepts and principles of machine learning. Thank you for watching! See you in the next video!
How to Fix SQL Total Data Limit of 50 | Comprehensive Guide
Переглядів 11Місяць тому
Welcome to [Your Channel Name]! Today, we're diving deep into an issue that many SQL users face: the dreaded total data limit of 50. Whether you're working with MySQL, PostgreSQL, or any other SQL database, hitting a data limit can be frustrating. But don't worry, we've got you covered! In this video, you will learn: Understanding SQL Data Limits What does a data limit of 50 mean? Why do SQL da...
Project - 14 | Predict Bank Loan Approval Status with Machine Learning in Python
Переглядів 256Місяць тому
Project - 14 | Predict Bank Loan Approval Status with Machine Learning in Python
How to convert google sheet file to csv file very easy process
Переглядів 422 місяці тому
How to convert google sheet file to csv file very easy process
Project 13: Next Day Min and Max Temperature Predictions Using Machine Learning and Python
Переглядів 892 місяці тому
Project 13: Next Day Min and Max Temperature Predictions Using Machine Learning and Python
Project 12 - Predicting Baseball Outcomes with Machine Learning in Python | Case Study
Переглядів 3132 місяці тому
Project 12 - Predicting Baseball Outcomes with Machine Learning in Python | Case Study
"Ordinal Encoder: Converting Categorical Data into Numerical Data for Machine Learning"
Переглядів 402 місяці тому
"Ordinal Encoder: Converting Categorical Data into Numerical Data for Machine Learning"
Full Details of Outliers | Detecting and Removing Outliers in Data
Переглядів 682 місяці тому
Full Details of Outliers | Detecting and Removing Outliers in Data
Project 11 | Bank Subscription To Term Predict Customer has taken subscription or not
Переглядів 1202 місяці тому
Project 11 | Bank Subscription To Term Predict Customer has taken subscription or not
Project 10- Glass Identification Classification Problem using machine learning Models | Python
Переглядів 1322 місяці тому
Project 10- Glass Identification Classification Problem using machine learning Models | Python
Project - 9 | Happiness Score Predict using Machine Learning models | PYTHON
Переглядів 3612 місяці тому
Project - 9 | Happiness Score Predict using Machine Learning models | PYTHON
Project 8: Diabities Prediction using Machine Learnings with python | End to End Project
Переглядів 1473 місяці тому
Project 8: Diabities Prediction using Machine Learnings with python | End to End Project
Project 7 -"Predicting Student Grades with Machine Learning and Python | Full Project Tutorial"
Переглядів 3303 місяці тому
Project 7 -"Predicting Student Grades with Machine Learning and Python | Full Project Tutorial"
Project 6 : Titanic Survival Prediction New datasets Using Machine Learnings
Переглядів 653 місяці тому
Project 6 : Titanic Survival Prediction New datasets Using Machine Learnings
Project 5 : Titanic Survival Prediction using Machine Learning in Python | Machine Learning Project
Переглядів 323 місяці тому
Project 5 : Titanic Survival Prediction using Machine Learning in Python | Machine Learning Project
Project 4 : Car Price Predictor Project | Machine Learning | Linear Regression
Переглядів 403 місяці тому
Project 4 : Car Price Predictor Project | Machine Learning | Linear Regression
Datasets - docs.google.com/spreadsheets/d/1FjcuhiuOpSMzAcg6bYmNz0VAxyR7_ErrTRkcWJl-pR8/edit?usp=sharing
kindly provide practice file..
Datasets - docs.google.com/spreadsheets/d/1FjcuhiuOpSMzAcg6bYmNz0VAxyR7_ErrTRkcWJl-pR8/edit?usp=sharing
Sir please upload dataset
Datasets link - docs.google.com/spreadsheets/d/1mgVQDAgsznWKW-1pzLkBdYfjoDNxkGMEPm_kear5k4k/edit?usp=sharing
Watch these video to convert google sheet to csv file - ua-cam.com/video/D3KBigSgwU8/v-deo.htmlsi=dR_sY7szVg6Gxsw9
Dataset link - drive.google.com/drive/u/0/mobile/folders/16cwT8VgsdTyRNSdZpA1ieHlsT98xUQe8?usp=sharing&pli=1
Nice project ❤❤❤❤
Datasets Links - drive.google.com/drive/folders/16cwT8VgsdTyRNSdZpA1ieHlsT98xUQe8?usp=sharing
Sir mere pass out lear type of glass error bta rha h
IQR method ka hi use kiye ho na outliers remove karne main❤❤
Nice project and nice explain
@@SubhamkumarSingh-wq4pf thanks
❤❤❤❤❤❤❤❤
Nice Explain
Thanks
Nice video, keep uploading
Thanks
Keep it up❤❤❤❤
Nice video❤❤❤❤❤❤❤❤❤
Thanks
Bro you are doing a good job. Just be consistent.
Data link
docs.google.com/spreadsheets/d/1XGUg8USPCerTuSxZRLJK_AvZRBGW7iFydbFpm7Eken4/edit?usp=sharing
Thanks bro for understanding so well❤❤❤❤❤
Thanks
@@datascience8012 can you provide notes link?
Nice explain Please Bring Part 2 of this very soon🔔
Thanks Bro
❤❤❤
Sir , yeh video bahut informative heh ..yeh projects kaunse post k liye heh
Data science and Data analyst
@@datascience8012 thank you sir🙂
Nice video brother I got the project and after importing the data only 50 was coming it got fixed because of you thanks you so much❤❤❤❤❤❤❤❤
Thanks Bro
bro do projects on sql
Why not
Hello brother , i really appreciate your hardwork and video of mL projects . Thank you so much for that . Keep uploading ML projects videos
Thanks brother ❤❤❤
Nice
Thanks ❤❤❤❤🙏🙏
Nice
Thanks ❤❤❤❤❤🙏🙏
Outliers video link - ua-cam.com/video/5M7rZd2jzRE/v-deo.htmlsi=cY6WRgoDZmraEHkg
Datasets - docs.google.com/spreadsheets/d/1vTpjSx6Z30q4ucSgSXjdlWO0kvSSsuUv3nZw7HKhEf0/edit?usp=sharing Outliers Video Link - ua-cam.com/video/5M7rZd2jzRE/v-deo.htmlsi=cY6WRgoDZmraEHkg
bro dataset
docs.google.com/spreadsheets/d/18rOe4QNGiM5dZ3YchIbq1i_L_c4xs1a7bloaa6YzSxM/edit?usp=sharing
google sheet ko excel main convert kar lo copy and paste kar ke
Can you please provide datasets
github.com/Lab-of-Infinity/Datatrained-Projects/blob/main/Project%201%20World%20Happiness%20Report/happiness_score_dataset.csv
where is the dataset bro??
github.com/Lab-of-Infinity/Datatrained-Projects/blob/main/Project%201%20World%20Happiness%20Report/happiness_score_dataset.csv
plse subscribe and like
@@datascience8012 Thank You
Nice explain all concept clear thanks to you❤❤❤❤❤❤
Thanks 🙏🙏🙏🙏
I have a question after removing outliers and transforming categorical columns ,the shape is 1329 right? For the rows,but after concatenatiing the transformed columns with the original df(no outliers), why does it show the row count as 1338 again?
I have never had this issue before with datasets
Because when df1 rows is 1329 because we use the IQR method to remove outliers that's means some data has loss that's why you see 1329
@@janaramon1232 yes 1329 is right because these time your data frame is df1
@@janaramon1232 when you remove outliers then you have to take only df1 not in df.
@@datascience8012 that is not the issue
❤❤❤❤❤❤
Thanks ❤❤❤
Bro your accuracy is always best thanks
Thanks bhai
Nice Explain
Congratulation for your 100 subscribers
Thanks
Congratulation from me for your 100 subscribers
Thanks
Congratulation from me for your 100 subscribers
Thanks
Congratulations to your 100 subscribera
Thank you so much 😁
hello, can you give the links please Dataset: [Link to dataset] Jupyter Notebook: [Link to notebook] GitHub Repository: [Link to repo]
Nice explain
Thanks bro
But prize nhi mila Aap please help kare meri 🙏🏻
Giveaway jit kar bahoot khush tha but ab puri tarah se sad ho gya hun nhi mila too all details Dene ke baad bhi
Help me bhai Contact me please 😢 giveaway ka process bta do 😔
Nice explain and your predictions is also good
Thanks bhai
Good info! Can you share the notebook?
ipynb file share karu kiya
Dataset?
@@janaramon1232 github.com/stedy/Machine-Learning-with-R-datasets/blob/master/insurance.csv
@@janaramon1232 subscribe and likes
Bahut hi achhe se explain kiya hai Thanks❤❤❤❤❤
Thanks bro
❤❤❤❤
Thanks
Nice explain
Thanks
Bro youtube par tip and trick dek kar viedo dalo to view ayege
Thanks bro❤❤❤