1
What is Machine Learning in Data Science- Machine Learning Tutorial with Python and R-Part 1
10:00
2017-11-25
2
What is Supervised Machine Learning- Machine Learning Tutorial with Python and R-Part 2
11:42
2017-11-26
3
Anaconda installation with Packages- Machine Learning Tutorial with Python and R-Part 3
5:18
2017-11-26
4
Important libraries used in python Data Science- Machine Learning Tutorial with Python and R-Part 4
8:31
2017-11-26
5
PySpark Tutorial for Beginners | Apache Spark with Python -Linear Regression Algorithm
18:11
2018-06-06
6
Principle Component Analysis (PCA) using sklearn and python
12:30
2018-07-02
7
Computer Vision using Microsoft Cognitive Services for Images
13:38
2018-07-25
8
How to select the best model using cross validation in python
15:32
2018-09-04
9
TPR,FPR,FNR,TNR, Confusion Matrix
25:12
2019-02-04
10
Precision, Recall and F1-Score
9:03
2019-02-05
11
Artificial Neural Network for Customer's Exit Prediction from Bank
23:05
2019-02-06
12
GridSearchCV- Select the best hyperparameter for any Classification Model
18:16
2019-02-08
13
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
12:56
2019-02-09
14
K Means Clustering Intuition
14:36
2019-02-13
15
Hierarchical Clustering intuition
6:12
2019-02-14
16
Complete Life Cycle of a Data Science Project
15:44
2019-03-27
17
How we can apply Machine Learning in Finance
13:12
2019-04-03
18
Deep Learning in Medical Science
16:50
2019-04-04
19
Setting up Raspberry pi 3 B+
11:31
2019-04-05
20
How to switch your career to Data Science.
21:59
2019-04-12
21
Linear Regression Mathematical Intuition
24:17
2019-05-01
22
Handle Categorical features using Python
18:37
2019-05-24
23
DBSCAN Clustering Easily Explained with Implementation
18:32
2019-06-05
24
Curse of Dimensionality Easily explained| Machine Learning
7:37
2019-06-10
25
Feature Selection Techniques Easily Explained | Machine Learning
23:01
2019-06-11
26
Cross Validation using sklearn and python | Machine Learning
9:48
2019-06-13
27
Handling Missing Data Easily Explained| Machine Learning
23:22
2019-06-15
28
Deploy Machine Learning Model using Flask
13:20
2019-06-16
29
Deployment of Deep Learning Model using Flask
7:33
2019-06-17
30
How to Visualize Multiple Linear Regression in python
8:25
2019-06-18
31
Predicting Heart Disease using Machine Learning
11:49
2019-06-21
32
Predicting Lungs Disease using Deep Learning
13:51
2019-06-22
33
Stock Sentiment Analysis using News Headlines
13:59
2019-06-23
34
Random Forest(Bootstrap Aggregation) Easily Explained
9:18
2019-06-24
35
Private video
—
36
Voting Classifier(Hard Voting and Soft Voting Classifier)
6:45
2019-06-25
37
Credit Card Fraud Detection using Machine Learning from Kaggle
18:34
2019-06-25
38
Hyperparameter Optimization for Xgboost
14:55
2019-06-26
39
Tutorial 45-Handling imbalanced Dataset using python- Part 1
13:01
2019-06-27
40
Tutorial 46-Handling imbalanced Dataset using python- Part 2
10:59
2019-06-27
41
DNA Sequencing Classifier using Machine Learning
17:18
2019-06-28
42
Credit card Risk Assessment using Machine Learning
12:10
2019-07-09
43
Why, How and When to Scale Features in Machine Learning?
10:09
2019-07-10
44
How to choose number of hidden layers and nodes in Neural Network
14:29
2019-07-11
45
Diabetes Prediction using Machine Learning from Kaggle
13:33
2019-07-12
46
How to Read Dataset in Google Colab from Google Drive
9:46
2019-07-14
47
Malaria Disease Detection using Deep Learning
13:26
2019-07-15
48
Python Application to Track Amazon Product Prices
13:08
2019-07-27
49
What is Cross Validation and its types?
18:15
2019-08-08
50
Train Test Split vs K Fold vs Stratified K fold Cross Validation
13:43
2019-08-08
51
My Path on Becoming a Data Scientist- Motivation
17:23
2019-08-09
52
Complete Life Cycle of a Data Science Project
9:57
2019-08-10
53
Step By Step Transition Towards Data Science
10:06
2019-08-12
54
What should be your Salary Expectation as a Data Scientist?
9:14
2019-08-13
55
How to Crack Data Science Interviews- Motivations
12:49
2019-08-14
56
The Role of Maths in Data Science and How to Learn?
9:42
2019-08-21
57
Tutorial 42 - Ensemble: What is Bagging (Bootstrap Aggregation)?
6:27
2019-08-23
58
Tutorial 43-Random Forest Classifier and Regressor
10:18
2019-08-24
59
Important Tools and Libraries Used By Data Scientist
8:23
2019-08-23
60
How To Apply Data Science In Your Domain?
6:13
2019-08-24
61
Skills Required To Become A Data Analyst and a Data Scientist
11:02
2019-09-11
62
How To Become Expertise in Exploratory Data Analysis
10:05
2019-09-25
63
How to Prepare For Data Science Interviews
13:43
2019-09-27
64
Why and When Should we Perform Feature Normalization?
7:38
2019-09-30
65
Flask Vs Django and When Should You Use What?
6:04
2019-10-04
66
Top 5 Python IDEs For Data Science
8:45
2019-10-28
67
Perform Web Scraping On Wikipedia- Data Science
8:34
2019-12-05
