🚀 Data Cleaning/Data Preprocessing Before Building a Model

🚀 Data Cleaning/Data Preprocessing Before Building a Model - A Comprehensive Guide

Рет қаралды 37,008

6 ай бұрын

Welcome to Learn_with_Ankith! 📊 In this tutorial, we'll delve into the crucial steps of data preprocessing to ensure your datasets are in prime condition before feeding them into your machine learning models. A clean and well-prepared dataset is the foundation for accurate and reliable model predictions.
Data_set link: www.kaggle.com/datasets/kumar...
📌 Topics Covered:
🚀 Data Cleaning/Data Preprocessing Before Building a Model - A Comprehensive Guide
Import Necessary Libraries: Learn the essential libraries required for efficient data manipulation and analysis.
Read File: Understand how to import data from various sources and formats into your Python environment.
Sanity Check:
Identify and handle missing values effectively.
Explore the dataset's shape, information, and spot duplicates.
Conduct a garbage check to maintain data integrity.
Exploratory Data Analysis (EDA):
Dive into descriptive statistics for a deeper understanding of your data.
Visualize data distributions with histograms and box plots.
Uncover patterns and relationships with scatter plots and correlation heatmaps.
Missing Value Treatment:
Implement strategies using mode, median, and KNNImputer to handle missing data.
Outlier Treatment:
Explore methods to detect and deal with outliers that can impact model performance.
Encoding of Data:
Convert categorical variables into a format suitable for machine learning algorithms.
🔧 Whether you're a beginner or seasoned data scientist, mastering these preprocessing techniques is fundamental for building robust and accurate machine learning models..#DataPreprocessing, #DataCleaning, #MachineLearning, #DataScience, #DataAnalysis, #PythonProgramming, #Tutorial, #ExploratoryDataAnalysis, #OutlierDetection, #MissingValueTreatment, #DataVisualization, #Programming, #DataManipulation, #CodingTips, #FeatureEngineering, #DataQuality, #Pandas, #NumPy, #Matplotlib, #Seaborn, #DataInsights, #TechTutorial, #DataEngineering, #MachineLearningModels, #AIProgramming, #DataAnalytics, #DataWrangling, #TechEducation, #PythonTips, #Statistics, #DataSkills, #ProgrammingLife, #Algorithm, #TechTalk, #CodingCommunity, #DataPrep, #CodeNewbie, #DataQualityCheck, #LearnDataScience, #ProgrammingJourney

Пікірлер: 34

@gloomyday4524 Ай бұрын

you dont know how much this video help clueless students like me, you did such a good thing bro, i hope everything will always goes easy in your life!

@bombasticiti 5 ай бұрын

Nice, Thank you for feeding my mind!🙂

@kiruthickagp 5 ай бұрын

Very clearly explained

@vrishabhbhonde6899 Ай бұрын

Thanks a lot sir. Very helpful and very clear steps

@percidaman4409 Ай бұрын

Thanks man this was so great, you really helped me

@alfredturkson1319 9 күн бұрын

How did you set up your jupyter notebook? the settings to make mine look like yours please

@AmahaGebretsadikan 2 ай бұрын

I like it the organisation and contents of the presentation

@nabinbk1065 11 күн бұрын

thank you sir. you are great

@anurag17091977 21 күн бұрын

stupendous video. keep it up bro.

@Akash-us3mo Ай бұрын

Thankyou

@Balaji-wb7cp 19 күн бұрын

Superb bro

@onlyguitars 5 ай бұрын

Hi! Great video, very helpful and love how each step is clearly outlined! Just a question. In the outliers why change the value to the UW and LW, and not just drop those rows? Thank you!

@hiteshsharma8368 14 күн бұрын

Nice vedio thanks brother ❤

@raghavendraraodk7855 14 күн бұрын

Sooper

@rekhamalik3663 6 ай бұрын

Amazing! Can you please make video with complex json files i.e stock market data?

@maskedvillainai 2 ай бұрын

You can skip literally every step here by uploading your data to hugging face and opening the auto train data viewer tool that’s auto generated for you. It includes the answers to all of these problems already with no code or time spent making it a task you don’t need to be focused on

@bhaskarmondal7461 6 ай бұрын

Thank you so much Sir, For providing this particular Kind of tutorial!, which is specifically targeted for Machine Learning rather than Data Analysis. Also, I was looking for something just like this for last few days

@learnwithankit383 6 ай бұрын

"Great to hear that you found the tutorial helpful! "

@bhaskarmondal7461 6 ай бұрын

Again, Thank you for your efforts :) @@learnwithankit383

@yasinimudy8688 Ай бұрын

Nice video, however I would like if ".fit_transform" method of KNNImputer does not cause data leakage when applied to fill null values.

@AB51002 6 ай бұрын

Could you also make a video exploring and cleaning text data? Something like what LLMs train on, but obviously much smaller. Something like 1GB of text perhaps. I can't find any online resources targeting that specifically, and it could help many people learn how to better filter text dataset for higher quality datasets. Thank you in advance!

@kartikgupta8413 2 ай бұрын

did you find something like that?