29th May 2024 - I, Python

30th May 2024 - <insertnamehere>

31st May 2024 - Loopity Hoopity

2nd June 2024 - Some Starter Projects

3rd June 2024 - A List of Loops to Learn

4th June 2024 - Segregation Manipulation

Cupoy: Machine Learning 100-Day Marathon

6th June 2024 - Data Science and AI

7th June 2024 - What & Why: Data Science

9th June 2024 - Data Introduction and Evaluation

10th June 2024 - Reading Data and Features

11th June 2024 - Problem Assessment

12th June 2024 - Data Visualization

14th June 2024 - Subplots in Plots

16th June 2024 - Feature Engineering

17th June 2024 - Operating with DataFrames and Outliers

19th June 2024 - Feature Engineering: Continuous Variables

20th June 2024 - Feature Engineering: Categorical Variables

23rd June 2024 - Feature Selection

26th June 2024 - Feature Combination and Evaluation

27th June 2024 - Feature Engineering with Temporal Data

28th June 2024 - Deep Dive: Machine Learning & Why can Machines Learn

30th June 2024 - How Machines Learn

5th July 2024 - Model's First Education

7th July 2024 - Further Supervised Learning

9th June 2024 - Data Introduction and Evaluation

10th July 2024 - Technicalities of Model Training

11th July 2024 - Splitting Data

12th July 2024 - Evaluation Metrics

14th July 2024 - Overfitting and Underfitting

15th July 2024 - Unsupervised Machine Learning

16th July 2024 - Deep Dive on Linear and Logistic Regression

17th July 2024 - Regression Model Demo

18th July 2024 - Normalization and Regularization in Machine Learning

19th July 2024 - Support Vector Machines

20th July 2024 - Support Vector Machines: the Kernel Trick

21st July 2024 - Support Vector Machines: Hard and Soft Margins

22nd July 2024 - Unsupervised Machine Learning: Clustering

23rd July 2024 - Clustering: Silhouette

24th July 2024 - Clustering: Hierarchical Clustering

26th July 2024 - Clustering: Toy Dataset

28th July 2024 - Decision Tree

30th July 2024 - Ensemble Learning

31st July 2024 - Random Forest

1st August 2024 - Gradient Boosting

2nd August 2024 - Dimensionality Reduction

5th August 2024 - Dimensionality Reduction: t-SNE

6th August 2024 - Dimensionality Reduction: Manifold Learning

8th August 2024 - Deep Learning

9th August 2024 - Deep Learning: Deepening and Broadening

11th August 2024 - Deep Learning: Activation Functions and Regularization

13th August 2024 - An Introduction to Keras

14th August 2024 - Keras: Sequential Models

15th August 2024 - Keras: Functional API

16th August 2024 - Deep Learning: Deep Dive

18th August 2024 - Deep Dive: Loss Function

19th August 2024 - Deep Learning: Activation Function

21st August 2024 - Deep Dive: Gradient Descent

23rd August 2024 - Deep Learning: Backpropagation

25th August 2024 - Deep Learning: Optimization Algorithms

26th August 2024 - Deep Dive: Overfitting

28th August 2024 - Deep Dive: Learning Rate

30th August 2024 - Deep Dive: Regularization, Dropout, and Batch Normalization

2nd September 2024 - Keras: Callbacks

4th September 2024 - Keras: Custom Callbacks and Loss Functions

5th September 2024 - Machine Learning: Image Recognition

8th September 2024 - Introduction to Convolutional Neural Network

10th September 2024 - CNN: Novice Layer Building (Padding and Pooling)

11th September 2024 - Keras: CNN

12th September 2024 - Machine Learning: Processing Datasets of Various Sizes

15th September 2024 - Deep Learning: Transfer Learning

Cupoy: Computer Vision and Deep Learning Marathon

17th September 2024 - Introduction to OpenCV

19th September 2024 - OpenCV: Reprocessing

21st September 2024 - OpenCV: Geometric Transformations

23rd September 2024 - OpenCV: Painting and Affine Transformation

24th September 2024 - OpenCV: Perspective Transformation and Kernels

26th September 2024 - Introduction to SIFT 

29th September 2024 - SIFT: Keypoint Matching

30th September 2024 - Deep Dive: CNN - Convolution, Padding, and Striding

1st October 2024 - Deep Dive: CNN - Pooling, Flattening, and Batch Normalization

3rd October 2024 - Deep Dive: Data Augmentation

4th October 2024 - Deep Machine Learning: Classic Models

7th October 2024 - Deep Dive: CNN - Transfer Learning

8th October 2024 - Introduction to Recurrent Neural Network (and Connectionist Temporal Classification Loss)

10th October 2024 - Principles of Object Detection

14th October 2024 - Object Detection: Bounding Box Statistics

16th October 2024 - Object Detection: Non-Maximum Suppression

17th October 2024 - Object Detection: YOLO

22nd October 2024 - Object Detection: Facial Recognition

24th October 2024 - Facial Recognition: MobileNetV2

Tech with Tim – Pygame Tutorial Series

28th October 2024 - Python: Pygame

29th October 2024 - Pygame: Optimization with Classes (and Shooting Mechanics)

30th October 2024 - Pygame: Interactive Elements

31st October 2024 - Pygame: Background Game Mechanics

1st November 2024 - Pygame: Sound Effects, Music, and More Collisions

3rd November 2024 - Pygame: Finale

Coder Space – Creating a Doom-style Game in Python

5th November 2024 - Pygame: Classic Doom #1 – 2D Raycasting

6th November 2024 - Pygame: Classic Doom #2 – Game Physics

7th November 2024 - Pygame: Classic Doom #3 – 3D Projection and Texturing

5th December 2024 - Pygame: Classic Doom #4 – Mouse Controls, Background Textures, and Sprite Calculi and Projection

12th December 2024 - Pygame: Classic Doom #5 – Sprite Animation and Different Sprite Handling

18th December 2024 - Pygame: Classic Doom #6 – Weapons System with Sound Effects

25th December 2024 - Pygame: Classic Doom #7 – NPCs (Non-Player Characters)

12th January 2025 - Pygame: Classic Doom #8 – NPC Awareness of Surroundings and Death State

22nd January 2024 - Pygame: Doom #9 – NPC Movement and Player Pursuit

30th January 2024 - Pygame: Doom #10 – Interactive Gameplay with NPCs