RegenerativeToday
This channel is dedicated to learners who wants to learn Data Science and Data Analytics. Most of the videos will be about Data Science tutorial. Starting from Python Data Analysis libraries like Numpy, Pandas, Matplotlib snd Scikit-Learn. The plan is to eventually move to Machine learning and deep earning tutorials. We will also develop algorithm and problem solving skills together. Our plan is to create a group of Data Scientists and Data analysts to learn from each other and help each other grow. We hope to be interactive in this this channel through constructive comments. Please subscribe and stay tuned if you want to keep learning with us.
What is Blockchain and How it is Different
Implementation of Recurrent Neural Network in TensorFlow | Natural Language Processing
The Evolution of Self Driving Cars in Brief
Build A Convolutional Neural Network in TensorFlow and Python | KerasTuner - Hyperparameter Tuning
How to Stay Relevant in the AI Job Market
Human Brain on a Robot Body?
Principal Component Analysis in Python - Two Use Cases in Details
K Means Clustering in Python | How K Means Works | Find the Right K | Unsupervised Learning 2
What is Unsupervised Machine Learning | Unsupervised Learning 1
Do We Need to Learn Machine Learning / Deep Learning Anymore | Can AI Do the Model Now?
XGBoost Regressor in Python - sklearn
XGBoost Classifier in Python - Multiple Disease Prediction
Ada Boost Classifier in Python
Ada Boost Algorithm Clearly Explained
Gradient Boosting Machine Classifier in Python
Машина градиентного бустинга — простое объяснение | Регрессия на Python
K Nearest Neighbors Algorithm in Python | Classification | Regression | How to Choose the Right K
Learning Rate Scheduler in Keras and TensorFlow -
Wide and Deep Learning in TensorFlow | Deep Learning Tutorial
Neural Network With Functional API in TensorFlow | Deep Learning
Saving And Loading TensorFlow Models - ModelCheckpoint Callback | Deep Learning With TensorFlow
Analyzing Deep Learning Models with TensorBoard | TensorFlow, Keras, and Python
Callbacks, Early Stopping, Live Loss Plotting | Deep Learning | Keras, TensorFlow, and Python
Activation Functions - TensorFlow
Regression Using TensorFlow, Keras, and Python - Complete Step by Step Tutorial
Build a Neural Network with TensorFlow, Keras, and Python
Gradient Descent Explained
Cost Functions For Classification Models - Machine Learning
Cost Function Options for Regression Models- Machine Learning and Deep Learning
Neural Networks Explained Clearly - Step By Step