Reality Of Data Science Work- What We Learn Vs What We Work In Industries

Krish Naik · Intermediate ·📐 ML Fundamentals ·3y ago
In reality, data science work often involves more data cleaning, preprocessing, and feature engineering than the more glamorous tasks like model building and deployment. The difference between what is learned in academia and what is practiced in industry is often due to the emphasis placed on different aspects of the work, with academia emphasizing the theory and industry emphasizing practical applications and problem-solving. Additionally, data privacy and ethical considerations are often not addressed in detail in academic settings, but are crucial in industry. ------------------------------------------------------------------------------------------------------ Best Affordable Data Science Course From Pwskills(6-7 Months) Impact Batch:- Data-Science-Masters (Full Stack Data Science) 1. Data Science Masters Hindi: https://bit.ly/3CKX1od (Hindi) 2. Data Science Masters English: https://bit.ly/3iEjWuH (English) ------------------------------------------------------------------------------------------------ Check Out My Other Playlist Python Playlist: Python In English:https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVNUL99R4bDlVYsncUNvwUBB Python In Hindi: https://www.youtube.com/watch?v=MJd9d9Mpxg0&list=PLTDARY42LDV4qqiJd1Z1tShm3mp9-rP4v Stats Playlist: English 7 Days Statistics Live Session :https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay Hindi: Stats Playlist: https://www.youtube.com/watch?v=7y3XckjaVOw&list=PLTDARY42LDV6YHSRo669_uDDGmUEmQnDJ Complete ML Playlist: https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe Hindi: ML Playlist: https://www.youtube.com/watch?v=7uwa9aPbBRU&list=PLTDARY42LDV7WGmlzZtY-w9pemyPrKNUZ 5 DaysLive Deep Learning Playlist: https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns Complete Deep Learning Playlist: https://www.youtube.com/watch?v=YFNKnUhm_-s&list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi
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1 Natural Language Processing|Stemming
Natural Language Processing|Stemming
Krish Naik
 2 Natural Language Processing|BagofWords
Natural Language Processing|BagofWords
Krish Naik
 3 Gaussian distribution or Normal Distribution in statisctics
Gaussian distribution or Normal Distribution in statisctics
Krish Naik
 4 Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
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 5 Log Normal Distribution in Statistics
Log Normal Distribution in Statistics
Krish Naik
 6 Covariance in Statistics
Covariance in Statistics
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 7 Confusion matrix, Precision, Recall| Data Science Interview questions
Confusion matrix, Precision, Recall| Data Science Interview questions
Krish Naik
 8 Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Krish Naik
 9 Implementing a Spam classifier in python| Natural Language Processing
Implementing a Spam classifier in python| Natural Language Processing
Krish Naik
 10 Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Krish Naik
 11 Face Recognition using open CV and VGG 16 Transfer Learning
Face Recognition using open CV and VGG 16 Transfer Learning
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 12 Pedestrian Detection using OpenCV from Videos
Pedestrian Detection using OpenCV from Videos
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 13 Face and Eye Detection from Videos using HAAR Cascade Classifier
Face and Eye Detection from Videos using HAAR Cascade Classifier
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 14 Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Krish Naik
 15 OpenCV Installation | OpenCV tutorial
OpenCV Installation | OpenCV tutorial
Krish Naik
 16 Face and Eye Detection from Images using HAAR Cascade Classifier
Face and Eye Detection from Images using HAAR Cascade Classifier
Krish Naik
 17 Car Detection using HAAR Cascade and Opencv from Videos.
Car Detection using HAAR Cascade and Opencv from Videos.
Krish Naik
 18 Using OpenFace for Face recognition in Keras
Using OpenFace for Face recognition in Keras
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 19 OpenPose Tutorial with Tensorflow
OpenPose Tutorial with Tensorflow
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 20 Multiple Linear Regression using python and sklearn
Multiple Linear Regression using python and sklearn
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 21 Dimensional Reduction| Principal Component Analysis
Dimensional Reduction| Principal Component Analysis
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 22 Movie Recommender System using Python
Movie Recommender System using Python
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 23 TPR,FPR,FNR,TNR, Confusion Matrix
TPR,FPR,FNR,TNR, Confusion Matrix
Krish Naik
 24 Precision, Recall and F1-Score
Precision, Recall and F1-Score
Krish Naik
 25 Artificial Neural Network for Customer's Exit Prediction from Bank
Artificial Neural Network for Customer's Exit Prediction from Bank
Krish Naik
 26 GridSearchCV- Select the best hyperparameter for any Classification Model
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
 27 RandomizedSearchCV- Select the best hyperparameter for any Classification Model
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
 28 K Nearest Neighbor classification with Intuition and practical solution
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik
 29 K Means Clustering Intuition
K Means Clustering Intuition
Krish Naik
 30 Create custom Alexa Skill- Lambda function- Part2
Create custom Alexa Skill- Lambda function- Part2
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 31 Hierarchical Clustering intuition
Hierarchical Clustering intuition
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 32 Implement Transfer Learning with a generic Code Template
Implement Transfer Learning with a generic Code Template
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 33 Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik
 34 Unlock Your Application With Your Face using OpenCV
Unlock Your Application With Your Face using OpenCV
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 35 Draw rectangle from webcam and sketch process it on a live feed
Draw rectangle from webcam and sketch process it on a live feed
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 36 Complete Life Cycle of a Data Science Project
Complete Life Cycle of a Data Science Project
Krish Naik
 37 How we can apply Machine Learning in Finance
How we can apply Machine Learning in Finance
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 38 Deep Learning in Medical Science
Deep Learning in Medical Science
Krish Naik
 39 How to switch your career to Data Science.
How to switch your career to Data Science.
Krish Naik
 40 Linear Regression Mathematical Intuition
Linear Regression Mathematical Intuition
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 41 Handle Categorical features using Python
Handle Categorical features using Python
Krish Naik
 42 Machine Learning Algorithm- Which one to choose for your Problem?
Machine Learning Algorithm- Which one to choose for your Problem?
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 43 DBSCAN Clustering Easily Explained with Implementation
DBSCAN Clustering Easily Explained with Implementation
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 44 Curse of Dimensionality Easily explained| Machine Learning
Curse of Dimensionality Easily explained| Machine Learning
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 45 Feature Selection Techniques Easily Explained | Machine Learning
Feature Selection Techniques Easily Explained | Machine Learning
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 46 Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
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 47 Cross Validation using sklearn and python | Machine Learning
Cross Validation using sklearn and python | Machine Learning
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 48 Handling Missing Data Easily Explained| Machine Learning
Handling Missing Data Easily Explained| Machine Learning
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 49 Deploy Machine Learning Model using Flask
Deploy Machine Learning Model using Flask
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 50 Deployment of Deep Learning Model using Flask
Deployment of Deep Learning Model using Flask
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 51 How to Visualize Multiple Linear Regression in python
How to Visualize Multiple Linear Regression in python
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 52 K Nearest Neighbour Easily Explained with Implementation
K Nearest Neighbour Easily Explained with Implementation
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 53 Predicting Heart Disease using Machine Learning
Predicting Heart Disease using Machine Learning
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 54 Predicting Lungs Disease using Deep Learning
Predicting Lungs Disease using Deep Learning
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 55 Stock Sentiment Analysis using News Headlines
Stock Sentiment Analysis using News Headlines
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 56 Random Forest(Bootstrap Aggregation) Easily Explained
Random Forest(Bootstrap Aggregation) Easily Explained
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 57 Voting Classifier(Hard Voting and Soft Voting Classifier)
Voting Classifier(Hard Voting and Soft Voting Classifier)
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 58 Credit Card Fraud Detection using Machine Learning from Kaggle
Credit Card Fraud Detection using Machine Learning from Kaggle
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 59 Hyperparameter Optimization for Xgboost
Hyperparameter Optimization for Xgboost
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 60 Tutorial 45-Handling imbalanced Dataset using python- Part 1
Tutorial 45-Handling imbalanced Dataset using python- Part 1
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