Data Visualizations in Python 1
Muyiwa Abidoye
Data Visualizations in Python 1
43:53
Data Wrangling With Pandas
Muyiwa Abidoye
Data Wrangling With Pandas
36:09
Pandas Fundamentals
Muyiwa Abidoye
Pandas Fundamentals
37:25
Numpy Fundamentals For Data Science And Analytics
Muyiwa Abidoye
Numpy Fundamentals For Data Science And Analytics
55:22
Introduction to Tensors In PyTorch
Muyiwa Abidoye
Introduction to Tensors In PyTorch
52:12
Understanding Decomposition With Principal Component Analysis PCA
Muyiwa Abidoye
Understanding Decomposition With Principal Component Analysis PCA
23:46
Understanding Clustering With DBSCAN
Muyiwa Abidoye
Understanding Clustering With DBSCAN
43:36
Clustering With KMeans
Muyiwa Abidoye
Clustering With KMeans
38:46
Understanding HyperParameter Tuning 3 (Optimization with Optuna)
Muyiwa Abidoye
Understanding HyperParameter Tuning 3 (Optimization with Optuna)
25:36
Understanding HyperParameter Tuning - 2 (Randomized Search)
Muyiwa Abidoye
Understanding HyperParameter Tuning - 2 (Randomized Search)
15:21
Understanding HyperParameter Tuning With GridSearch
Muyiwa Abidoye
Understanding HyperParameter Tuning With GridSearch
47:30
Understanding Data Analysis Expression (DAX) in PowerBI
Muyiwa Abidoye
Understanding Data Analysis Expression (DAX) in PowerBI
1:00:55
Implementing Cross Validation With KFold & StratifiedKFold
Muyiwa Abidoye
Implementing Cross Validation With KFold & StratifiedKFold
39:02
Lesson 5: Understanding RandomForests Algorithm With Sklearn.
Muyiwa Abidoye
Lesson 5: Understanding RandomForests Algorithm With Sklearn.
26:31
Lesson 6: Gradient Boosting Explained With Xgboost
Muyiwa Abidoye
Lesson 6: Gradient Boosting Explained With Xgboost
30:03
Understanding Visualizations
Muyiwa Abidoye
Understanding Visualizations
53:48
Lesson 4: Understanding and Implementing Decision Trees With Sklearn.
Muyiwa Abidoye
Lesson 4: Understanding and Implementing Decision Trees With Sklearn.
1:01:19
LESSON 3: LOGISTIC REGRESSION EXPLAINED WITH SKLEARN IMPLEMENTATION.
Muyiwa Abidoye
LESSON 3: LOGISTIC REGRESSION EXPLAINED WITH SKLEARN IMPLEMENTATION.
43:25
LESSON 2: UNDERSTANDING LINEAR REGRESSION WITH SKLEARN
Muyiwa Abidoye
LESSON 2: UNDERSTANDING LINEAR REGRESSION WITH SKLEARN
1:09:13
PART THREE: Designing End To End ML Application with ZenML, MLflow, FastAPI & Logfire.
Muyiwa Abidoye
PART THREE: Designing End To End ML Application with ZenML, MLflow, FastAPI & Logfire.
1:07:30
PART TWO: Designing End To End ML Application with ZenML, MLflow, FastAPI & Logfire.
Muyiwa Abidoye
PART TWO: Designing End To End ML Application with ZenML, MLflow, FastAPI & Logfire.
43:13
PART ONE: Designing End To End ML Application with ZenML, MLflow, FastAPI & Logfire.
Muyiwa Abidoye
PART ONE: Designing End To End ML Application with ZenML, MLflow, FastAPI & Logfire.
1:18:16
Object Oriented Programming (OOP) Part One.
Muyiwa Abidoye
Object Oriented Programming (OOP) Part One.
43:16
Data Wrangling With Power Query
Muyiwa Abidoye
Data Wrangling With Power Query
39:07
Object Oriented Programming Part 2. (Encapsulation & Inheritance)
Muyiwa Abidoye
Object Oriented Programming Part 2. (Encapsulation & Inheritance)
36:53
Lambda Functions In Python
Muyiwa Abidoye
Lambda Functions In Python
33:50
Exception Handling In Python
Muyiwa Abidoye
Exception Handling In Python
49:16
Comprehensions In Python
Muyiwa Abidoye
Comprehensions In Python
29:54
Functions In Python.
Muyiwa Abidoye
Functions In Python.
41:37
Control Flow 1 - Conditionals
Muyiwa Abidoye
Control Flow 1 - Conditionals
37:08
Control Flow 2 - For Loops
Muyiwa Abidoye
Control Flow 2 - For Loops
25:45
Control Flow 3 - WHILE LOOP
Muyiwa Abidoye
Control Flow 3 - WHILE LOOP
25:48
Basic Data Structures Part 3 (Dictionaries and Sets)
Muyiwa Abidoye
Basic Data Structures Part 3 (Dictionaries and Sets)
27:41
Basic Data Structures Part 2 (Tuples)
Muyiwa Abidoye
Basic Data Structures Part 2 (Tuples)
19:43
Basic Data Structures Part 1 (Lists)
Muyiwa Abidoye
Basic Data Structures Part 1 (Lists)
31:41
Operators
Muyiwa Abidoye
Operators
27:18
variables and data
Muyiwa Abidoye
variables and data
23:39
Starting with Jupyter
Muyiwa Abidoye
Starting with Jupyter
24:45
Introduction To PowerBI
Muyiwa Abidoye
Introduction To PowerBI
39:10
Solving SQL-50 Practice Problem - Part 2.
Muyiwa Abidoye
Solving SQL-50 Practice Problem - Part 2.
1:17:27
Solving SQL-50 Practice Problem - Part 1.
Muyiwa Abidoye
Solving SQL-50 Practice Problem - Part 1.
54:58
WINDOW FUNCTIONS
Muyiwa Abidoye
WINDOW FUNCTIONS
40:20
COMMON TABLE EXPRESSION (CTE)
Muyiwa Abidoye
COMMON TABLE EXPRESSION (CTE)
37:38
SQL 101 -- FUNDAMENTALS OF DATABASE MANAGEMENT
Muyiwa Abidoye
SQL 101 -- FUNDAMENTALS OF DATABASE MANAGEMENT
1:02:50
FUNCTIONS AND CONDITIONALS - PART 1
Muyiwa Abidoye
FUNCTIONS AND CONDITIONALS - PART 1
38:47
FUNCTIONS AND CONDITIONALS - PART 2
Muyiwa Abidoye
FUNCTIONS AND CONDITIONALS - PART 2
22:51
SUBQUERIES
Muyiwa Abidoye
SUBQUERIES
31:13
JOINS: LEFT, RIGHT, FULL AND SELF
Muyiwa Abidoye
JOINS: LEFT, RIGHT, FULL AND SELF
30:54
INNER JOIN
Muyiwa Abidoye
INNER JOIN
22:16
AGGREGATION & GROUPING
Muyiwa Abidoye
AGGREGATION & GROUPING
29:31
SORTING, ALIASING, LIMIT AND BASIC ARITHMETIC EXPRESSIONS
Muyiwa Abidoye
SORTING, ALIASING, LIMIT AND BASIC ARITHMETIC EXPRESSIONS
27:42
SELECT, FROM, WHERE - PART 2
Muyiwa Abidoye
SELECT, FROM, WHERE - PART 2
39:22
SELECT, FROM and WHERE in MySQL - PART 1.
Muyiwa Abidoye
SELECT, FROM and WHERE in MySQL - PART 1.
33:49