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121 results

Tech With Tim
Learning to code has changed

To learn for free on Brilliant, go to https://brilliant.org/techwithtim . Brilliant's also given our viewers 20% off an annual Premium ...

13:19
Learning to code has changed

46,011 views

22 hours ago

Soledad Galli | Data Scientist @ Train in Data
Scoring New Data With Our Model | Deployment of Machine Learning Models

So this is one of the problems that we need to tackle when we deploy our machine learning model. We can minimize many of ...

9:45
Scoring New Data With Our Model | Deployment of Machine Learning Models

0 views

5 days ago

Peymify
Gradient Descent Implementation Using Python (So Easy!)

This is where machine learning stops being theory and starts working for real. In this video, you'll see how gradient descent is ...

10:58
Gradient Descent Implementation Using Python (So Easy!)

29 views

7 days ago

OpenCourse Studio
Build a Classification Model Using KNN | Machine Learning Tutorial (Day 8)

In Day 8 of this hands-on Machine Learning course, you will learn how the K-Nearest Neighbors (KNN) algorithm works and how ...

16:26
Build a Classification Model Using KNN | Machine Learning Tutorial (Day 8)

0 views

7 days ago

OpenCourse Studio
Machine Learning in Practice: From Models to Real-World Applications | Day 12

In Day 12 of this hands-on Machine Learning course, you will learn how to take Machine Learning models from development to ...

11:36
Machine Learning in Practice: From Models to Real-World Applications | Day 12

0 views

7 days ago

OpenCourse Studio
How to Build Better Machine Learning Projects | Practical Guide (Day 14)

In Day 14 of this Machine Learning course, you will learn best practices and practical tips for building effective Machine Learning ...

10:18
How to Build Better Machine Learning Projects | Practical Guide (Day 14)

0 views

7 days ago

OpenCourse Studio
Machine Learning Mini Project | End-to-End Workflow & Practice (Day 23)

In Day 23 of this Machine Learning course, you will work through a mini Machine Learning project using an end-to-end workflow.

7:53
Machine Learning Mini Project | End-to-End Workflow & Practice (Day 23)

0 views

4 days ago

OpenCourse Studio
Machine Learning Roadmap: What to Learn Next After the Basics | Day 13

In Day 13 of this Machine Learning course, you will learn how to move forward after mastering the fundamentals of Machine ...

14:31
Machine Learning Roadmap: What to Learn Next After the Basics | Day 13

1 view

7 days ago

OpenCourse Studio
How to Improve Machine Learning Models with Feature Engineering | Day 18

In Day 18 of this Machine Learning course, you will learn how feature engineering and model optimization can significantly ...

6:42
How to Improve Machine Learning Models with Feature Engineering | Day 18

0 views

4 days ago

Soledad Galli | Data Scientist @ Train in Data
Model Training Demo | Deployment of Machine Learning Models

In this final step of the Machine Learning Pipeline, we train and evaluate a Lasso regression model using the selected features.

3:55
Model Training Demo | Deployment of Machine Learning Models

0 views

7 days ago

OpenCourse Studio
Gradient Boosting and XGBoost Explained | Advanced Machine Learning (Day 21)

In Day 21 of this Machine Learning course, you will learn about Gradient Boosting and XGBoost, one of the most powerful and ...

7:07
Gradient Boosting and XGBoost Explained | Advanced Machine Learning (Day 21)

0 views

4 days ago

OpenCourse Studio
Practical XGBoost Tutorial | Building a High-Performance ML Model (Day 22)

In Day 22 of this Machine Learning course, you will learn how to use XGBoost in practice to build high-performance Machine ...

7:13
Practical XGBoost Tutorial | Building a High-Performance ML Model (Day 22)

0 views

4 days ago

Rishabh Mishra
Matplotlib Python Tutorial for Beginners | Data Visualization in Python

Matplotlib Python Tutorial for Beginners | Data Visualization in Python Matplotlib is a python library used for data ...

39:20
Matplotlib Python Tutorial for Beginners | Data Visualization in Python

5,433 views

6 days ago

OpenCourse Studio
How to Improve Machine Learning Models in Practice | ML Iteration Guide (Day 17)

In Day 17 of this Machine Learning course, you will learn how to improve Machine Learning models using an iterative and ...

10:10
How to Improve Machine Learning Models in Practice | ML Iteration Guide (Day 17)

0 views

4 days ago

OpenCourse Studio
Naive Bayes vs Logistic Regression for Classification | ML Tutorial (Day 9)

In Day 9 of this hands-on Machine Learning course, you will learn how Naive Bayes and Logistic Regression work for ...

11:28
Naive Bayes vs Logistic Regression for Classification | ML Tutorial (Day 9)

0 views

7 days ago

AI Made Simple
How to Become an AI Engineer in 2026 (The Complete 90-Day Roadmap)

How to become an AI Engineer in 2026? This complete 90-day roadmap provides the exact, step-by-step plan to get hired, even if ...

15:34
How to Become an AI Engineer in 2026 (The Complete 90-Day Roadmap)

18 views

7 days ago

OpenCourse Studio
Improve Machine Learning Models with Hyperparameter Tuning | Grid Search & CV (Day 19)

In Day 19 of this Machine Learning course, you will learn how to improve model performance using hyperparameter tuning and ...

6:49
Improve Machine Learning Models with Hyperparameter Tuning | Grid Search & CV (Day 19)

0 views

4 days ago

Visual Design Studio
Feature Selection for Machine Learning | Explained in 5 Minutes

In this video, we walk through why feature selection matters in the machine learning lifecycle, how it helps you fight the curse of ...

4:42
Feature Selection for Machine Learning | Explained in 5 Minutes

47 views

6 days ago

Decoding Complexities
Why Linear Regression Actually Works: The Central Limit Theorem (Python Simulation)

We use Mean Squared Error (MSE) everywhere in Machine Learning. But MSE relies on a massive assumption: that the noise in ...

5:05
Why Linear Regression Actually Works: The Central Limit Theorem (Python Simulation)

70 views

7 days ago

OpenCourse Studio
Ensemble Learning in Machine Learning | Bagging and Boosting Explained (Day 20)

In Day 20 of this Machine Learning course, you will learn about Ensemble Learning and how combining multiple models can ...

6:29
Ensemble Learning in Machine Learning | Bagging and Boosting Explained (Day 20)

1 view

4 days ago