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The first step to build any AI system is to be on 'good terms' with your data. Feature Engineering is your go-to friend for all the data cleaning and data analysis! BOOK 1:1 FOR DATA JOB GUIDANCE - https://topmate.io/keerthana_selvam 0:00 - What is Feature Engineering? 2:50 - Data & its types 8:50 - Technique 1 - Handle missing values 12:25 - Technique 2 - Handle imbalanced dataset 17:00 - Technique 3 - Outlier detection & removal 19:14 - Technique 4 - Data Encoding 23:50 - Technique 5 - Feature Scaling Python in 10 videos - • Python in 10 videos Data Science Career Transition: Data Analyst vs Data Scientist vs Data Engineer. Watch here - • Start your Data Science Career: Become a D... Understanding the data Science Project Lifecycle & Stages Watch here - • Understanding the data Science Project Lif... Types of machine Learning with song recommendation example Watch here - • Supervised vs Unsupervised vs Semi-Supervi... Cross validation & types - • What why and how of Cross Validation & its... MLOPS from scratch - • Machine Learning Operations (MLOPS) in Tam... Statistics Playlist - • Statistics for Data science [EPISODE -01] ... #datascienceforbeginners #machinelearning #deeplearning #python #python3 #pythontutorial #pythonforbeginners #pythonprogramming #datascienceinterviewquestionsandanswers #machinelearninginterviewquestions #pythoninterview #simple #easy #fresher #beginner #tamil #thamil #தமிழ் #missingvalues #nanvalues #outlierdetection #outlierremoval #imbalanceddataset #oversamo=pling #undersampling #downsampling #upsampling #smote #meanmedianmode #meanimputation #qualitativedata #quantitativedata #discrete #continuous #nominal #ordinal #datatypes #titanic #kaggle #majorityclassminorityclass #5numbersummary #boxplot #quartile #percentile #nominalencoding #onehotencoding #ordinalencoding #labelencoding #normalisation #standardisation #normalization #standardization #exploratorydataanalysis #dataanalysis #datacleaning #cleandata
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