All
Search
Images
Videos
Shorts
Maps
News
More
Shopping
Flights
Travel
Notebook
Report an inappropriate content
Please select one of the options below.
Not Relevant
Offensive
Adult
Child Sexual Abuse
Length
All
Short (less than 5 minutes)
Medium (5-20 minutes)
Long (more than 20 minutes)
Date
All
Past 24 hours
Past week
Past month
Past year
Resolution
All
Lower than 360p
360p or higher
480p or higher
720p or higher
1080p or higher
Source
All
Dailymotion
Vimeo
Metacafe
Hulu
VEVO
Myspace
MTV
CBS
Fox
CNN
MSN
Price
All
Free
Paid
Clear filters
SafeSearch:
Moderate
Strict
Moderate (default)
Off
Filter
12:19
portall.zp.ua
Python for Machine Learning | Preprocessing | fit, transform and fit_transform - P83
Python for Machine Learning Session # 83 Topic to be covered How fit(), transform() and fit transform() works ? OR Difference between fit(), transform() and fit transform() import pandas as pd from sklearn.preprocessing import Imputer, LabelEncoder df pd.read csv( Datapreprocessing.csv ) imputer
7K views
Aug 4, 2018
Sklearn Tutorial
An Introduction to Scikit-Learn: Machine Learning in Python
simplilearn.com
9 months ago
39:35
Scikit-Learn Tutorial | Sklearn Tutorial | Machine Learning Tutorial | Random Forest Classifier
YouTube
DataCode With Sharad
1.9K views
Nov 7, 2023
6:14:06
Python Full Course for Beginners
YouTube
Programming with Mosh
47M views
Feb 18, 2019
Top videos
1:47
CactusAI on Instagram: "Most ML models don’t fail because the algorithm is weak… They fail because your features are on completely different scales. Today’s breakdown covered: 🔥 Why scaling affects gradients, distances, and model stability 🔥 StandardScaler – when data is normally distributed 🔥 MinMaxScaler – best for neural networks & bounded ranges 🔥 RobustScaler – the KING when outliers exist 🔥 Why tree-based models DON’T need scaling 🔥 What features you should NEVER scale 🔥 The golden
Instagram
cactus_a.i
1.3K views
3 months ago
Python for Data Analysis: Preparing Numeric Data
YouTube
DataDaft
15.2K views
Jul 27, 2020
37:43
PYTHON SKLEARN PRE-PROCESSING + PIPELINE (22/30)
YouTube
Machine Learnia
149.4K views
Jan 27, 2020
Sklearn Machine Learning
Master Machine Learning in Python with Scikit-Learn
git.ir
190 views
Oct 9, 2023
Beginners Guide to Machine Learning - Python, Keras, SKLearn
git.ir
2.4K views
Jun 6, 2023
20:26
Feature Engineering - Scaling, Normalization and Standardization - GeeksforGeeks
geeksforgeeks.org
Jan 16, 2022
1:47
CactusAI on Instagram: "Most ML models don’t fail because the algo
…
1.3K views
3 months ago
Instagram
cactus_a.i
Python for Data Analysis: Preparing Numeric Data
15.2K views
Jul 27, 2020
YouTube
DataDaft
37:43
PYTHON SKLEARN PRE-PROCESSING + PIPELINE (22/30)
149.4K views
Jan 27, 2020
YouTube
Machine Learnia
12:52
Standardization Vs Normalization- Feature Scaling
339.7K views
Nov 7, 2019
YouTube
Krish Naik
8:09
sklearn Logistic Regression hyperparameter optimization
43.2K views
Mar 25, 2020
YouTube
Kunaal Naik | AI Agents
23:31
Feature Scaling - Normalization | MinMaxScaling | MaxAbsScaling |
…
196.8K views
Apr 10, 2021
YouTube
CampusX
8:39
Stacking Classifier | Ensemble Classifiers | Machine Learning
28.5K views
May 10, 2019
YouTube
Bhavesh Bhatt
10:50
ROC AUC | Machine Learning with Scikit-Learn Python
54.9K views
Dec 27, 2019
YouTube
Normalized Nerd
20:35
4.9. Numerical Dataset Pre-Processing - Use Case | Machine
…
25.3K views
Apr 19, 2021
YouTube
Siddhardhan
9:21
Data Preprocessing 07: Ordinal Encoding Sklearn | Machine Learn
…
11.3K views
Mar 14, 2021
YouTube
Stats Wire
5:17
Precision-Recall Curves and AUPRC | Confusion Matrix Metrics Part 9 |
…
32.3K views
Sep 10, 2020
YouTube
Rachit Toshniwal
20:07
PYTHON SKLEARN: KNN, LinearRegression et SUPERVISE
…
333.5K views
Nov 2, 2019
YouTube
Machine Learnia
16:30
Machine Learning Tutorial Python - 16: Hyper parameter Tuning (Grid
…
364.3K views
Nov 23, 2019
YouTube
codebasics
27:59
How do I encode categorical features using scikit-learn?
142.8K views
Nov 12, 2019
YouTube
Data School
21:47
141 - Regression using Neural Networks and comparison to othe
…
55.4K views
Jul 14, 2020
YouTube
DigitalSreeni
21:59
Time Series Data Preparation for Deep Learning (LSTM, RNN) models
75.9K views
Oct 9, 2020
YouTube
AIEngineering
7:57
Scikit Learn : Confusion Matrix, Accuracy, Precision and Recall
130.1K views
Nov 23, 2017
YouTube
Dragonfly Statistics
14:09
Gradient Boosting (GBM) in Python using Scikit-Learn | Tutorial | Mac
…
9.9K views
May 10, 2021
YouTube
Harsh Kumar
17:46
Machine Learning in Python: Building a Linear Regression Model
190.2K views
Apr 2, 2020
YouTube
Data Professor
15:05
How to Perform Hierarchical Clustering in Python( Step by Step)
62.8K views
Sep 9, 2019
YouTube
Alkademy Learning
13:34
Data Preprocessing 01: StandardScaler Machine Learning
…
69.3K views
Mar 2, 2021
YouTube
Stats Wire
15:43
Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass
…
368.2K views
Sep 21, 2018
YouTube
codebasics
3:06
Introduction to Precision, Recall and F1 - Classification Models | | Data
…
106.7K views
Feb 4, 2019
YouTube
Data Science Dojo
19:19
Machine Learning Tutorial Python - 8: Logistic Regression (Binary Cla
…
747.4K views
Sep 7, 2018
YouTube
codebasics
38:36
49 - Logistic Regression using scikit-learn in Python
13.6K views
Sep 24, 2019
YouTube
DigitalSreeni
8:14
Machine Learning with Imbalanced Data - Part 3 (Over-sampling, SMO
…
14.5K views
Apr 11, 2021
YouTube
Dr. Data Science
14:13
Principal Component Analysis (PCA) with sklearn: Breast Cance
…
5K views
Mar 12, 2021
YouTube
Data Science for Everyone
13:17
How to Calculate Precision, Recall, F1-Score using Python & Sklearn
23.1K views
Jan 25, 2021
YouTube
TechEngineerSchool
21:38
Lets Implement LSTM RNN Models For Univariate Time Series Foreca
…
116.9K views
May 23, 2020
YouTube
Krish Naik
See more videos
More like this
Feedback