Python Data Science Tutorial (English) (Part 2)

   Monday, May 06, 2024   

Starting a new Lecture Notes Series on Python Data Science Tutorial

Youtube Lecture Playlist Credits 

Channel Name: codebasics

So Let Us Start to This Journey of Learning 

Python Data Science Tutorial By Lecture Notes together!

Lecture 43: Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function

Lecture 44: Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle

Lecture 45: Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding

Lecture 46: Machine Learning Tutorial Python - 7: Training and Testing Data

Lecture 47: Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)

Lecture 48: Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)

Lecture 49: Machine Learning Tutorial Python - 7: Training and Testing Data

Lecture 50: Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)

Lecture 51: Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)

Lecture 52: Machine Learning Tutorial Python 12 - K Fold Cross Validation

Lecture 53: Machine Learning Tutorial Python - 13: K Means Clustering Algorithm

Lecture 54: Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1

Lecture 55: Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 2

Lecture 56: Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV)

Lecture 57: Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression

Lecture 58: Machine Learning & Data Science Project - 1 : Introduction (Real Estate Price Prediction Project)

Lecture 59: Machine Learning & Data Science Project - 2 : Data Cleaning (Real Estate Price Prediction Project)

Lecture 60: Machine Learning & Data Science Project - 3 : Feature Engineering (Real Estate Price Prediction)

Lecture 61: Machine Learning & Data Science Project - 4 : Outlier Removal (Real Estate Price Prediction Project)

Lecture 62: Machine Learning & Data Science Project - 5 : Model Building (Real Estate Price Prediction Project)

Lecture 63: Machine Learning & Data Science Project - 6 : Python Flask Server (Real Estate Price Prediction)

Lecture 64: Machine Learning & Data Science Project - 7 : Website or UI (Real Estate Price Prediction Project)

Lecture 65: Deploy machine learning model to production AWS (Amazon EC2 instance)

Lecture 66: Data Analyst vs Data Engineer vs Data Scientist

Lecture 67: Data Science & Machine Learning Project - Part 1 Introduction | Image Classification

Lecture 68: Data Science & Machine Learning Project - Part 2 Data Collection | Image Classification

Lecture 69: Data Science & Machine Learning Project - Part 3 Data Cleaning | Image Classification

Lecture 70: Data Science & Machine Learning Project - Part 4 Feature Engineering | Image Classification

Lecture 71: Data Science & Machine Learning Project - Part 5 Training a Model | Image Classification

Lecture 72: Data Science & Machine Learning Project - Part 6 Flask Server | Image Classification

Lecture 73: Data Science & Machine Learning Project - Part 7 Build Website | Image Classification

Lecture 74: Data Science & Machine Learning Project - Part 8 Deployment & Exercise | Image Classification

Lecture 75: Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)

Lecture 76: Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)

Lecture 77: What is a neuron? | Deep Learning Tutorial 3 (Tensorflow Tutorial, Keras & Python)

Lecture 78: Neural Network Simply Explained | Deep Learning Tutorial 4 (Tensorflow2.0, Keras & Python)

Lecture 79: Install tensorflow 2.0 | Deep Learning Tutorial 5 (Tensorflow Tutorial, Keras & Python)

Lecture 80: Pytorch vs Tensorflow vs Keras | Deep Learning Tutorial 6 (Tensorflow Tutorial, Keras & Python)

Lecture 81: Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)

Lecture 82: Activation Functions | Deep Learning Tutorial 8 (Tensorflow Tutorial, Keras & Python)

Lecture 83: Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)

Lecture 84: Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)