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#17 (Predictive Modeling) What is Predictive Modeling? | Supervised and Unsupervised Learning | RK

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#PredictiveModeling #Supervised #UnsupervisedLearning #RK
In this video, I have explained what is predictive modeling, supervised and unsupervised learning.
Python Tutorial
#01 How to Mount Google Drive to Google Colab | Connect GDrive with Colab | Colab Introduction | RK
#02 Google Colab | How to Read CSV, Excel and Json Files using Pandas Library in Python | RK Keynotes
#03 (Basics) Python Simple Data Types, Arithmetic, Comparison, Logical, Operators | RK Keynotes
#04 (Basics) Python Conditional Statements, Looping Constructs, Functions | Colab | RK Keynotes
#05 (List Basics) Python Data Structures | Data Types vs Data Structures | Demo | RK Keynotes
#06 (Dictionaries) Python Data Structures Part 2 | Dictionaries Demo | Google Colab | RK Keynotes
#07 (Data Frames Part 1) Python Data Frames Using Pandas Library | Excel vs Data Frames | RK
#08 (Data Frames Part 2) Python Data Frames | Index, Subset, iloc, Export Data Frame to Excel | RK
#09 How to Export Data Frame to Excel File? | to_excel function in Pandas | Google Colab | RK
#10 (Statistics) Find Mode and Mean Using a Dataset in Python | Pandas | RK Keynotes
#11 (Statistics - Median) What is Outlier? | How to find Median in Python Using Dataset | Pandas| RK
#12 (Statistics) How to Calculate Variance and Standard Deviation using Python | Google Colab | RK
#13 (Statistics) How to Calculate Frequency Table | How to Visualize Data Using Histogram |Graph| RK
#14 (Recap Statistics) A Quick Revision on 7 Basic Statistics for Data Science Concepts in Python| RK
#15 (Heat Map-Statistics) How to Generate Correlation and Heat Map | Seaborn, Numpy Library | RK
#16 (Statistics-CLT) Simulation | Central Limit Theorem in Data Science | RK Keynotes
Thanks for watching the video.
Regards,
Ravikumar R N
In this video, I have explained what is predictive modeling, supervised and unsupervised learning.
Python Tutorial
#01 How to Mount Google Drive to Google Colab | Connect GDrive with Colab | Colab Introduction | RK
#02 Google Colab | How to Read CSV, Excel and Json Files using Pandas Library in Python | RK Keynotes
#03 (Basics) Python Simple Data Types, Arithmetic, Comparison, Logical, Operators | RK Keynotes
#04 (Basics) Python Conditional Statements, Looping Constructs, Functions | Colab | RK Keynotes
#05 (List Basics) Python Data Structures | Data Types vs Data Structures | Demo | RK Keynotes
#06 (Dictionaries) Python Data Structures Part 2 | Dictionaries Demo | Google Colab | RK Keynotes
#07 (Data Frames Part 1) Python Data Frames Using Pandas Library | Excel vs Data Frames | RK
#08 (Data Frames Part 2) Python Data Frames | Index, Subset, iloc, Export Data Frame to Excel | RK
#09 How to Export Data Frame to Excel File? | to_excel function in Pandas | Google Colab | RK
#10 (Statistics) Find Mode and Mean Using a Dataset in Python | Pandas | RK Keynotes
#11 (Statistics - Median) What is Outlier? | How to find Median in Python Using Dataset | Pandas| RK
#12 (Statistics) How to Calculate Variance and Standard Deviation using Python | Google Colab | RK
#13 (Statistics) How to Calculate Frequency Table | How to Visualize Data Using Histogram |Graph| RK
#14 (Recap Statistics) A Quick Revision on 7 Basic Statistics for Data Science Concepts in Python| RK
#15 (Heat Map-Statistics) How to Generate Correlation and Heat Map | Seaborn, Numpy Library | RK
#16 (Statistics-CLT) Simulation | Central Limit Theorem in Data Science | RK Keynotes
Thanks for watching the video.
Regards,
Ravikumar R N