Machine Learning Tutorial for Beginners
What is Machine Learning? This machine learning tutorial is for beginners to begin the python machine learning application in real life tutorial series.
No Experience
Needed
Start from scratch
and build up
Flexible
Schedule
Learn at your
own pace
Quality
Content
Just quality
education
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This course includes:
- 1hr : 21min on-demand video
- 85 Lectures
- 12 Quizzes
- Access on any Device
No Experience Needed
Start from scratch
and build up
Flexible Schedule
Learn at your
own pace
Quality Content
Just quality
education
What you'll learn in our course?
-
What is Machine Learning?
-
Linear Regression
-
Gradient Descent and Cost Function
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Joblib And Pickle
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Dummy Variables & One Hot Encoding
Course Curriculum
85 Lectures | 1hr : 21min
Machine Learning with Python
48 Lectures
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What is Machine Learning?
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Linear Regression Single Variable
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Linear Regression Single Variable Quiz
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Linear Regression Single Variable Exercise
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Linear Regression Multiple Variables
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Linear Regression with Multiple Variables Quiz
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Linear Regression Multiple Variables Exercise
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Gradient Descent and Cost Function
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Gradient Descent and Cost Function Quiz
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Gradient Descent and Cost Function Exercise
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Save Model Using Joblib And Pickle
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Dummy Variables & One Hot Encoding
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Dummy Variables & One Hot Encoding Quiz
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Dummy Variables & One Hot Encoding Exercise
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Training and Testing Data
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Logistic Regression (Binary Classification)
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Logistic Regression (Binary Classification) Quiz
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Logistic Regression (Binary Classification) Exercise
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Logistic Regression (Multiclass Classification)
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Logistic Regression (Multiclass Classification) Exercise
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Decision Tree
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Decision Tree Exercise
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Support Vector Machine (SVM)
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Support Vector Machine Quiz
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Support Vector Machine (SVM) Exercise
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Random Forest
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Random Forest Quiz
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Random Forest Exercise
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K Fold Cross Validation
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K Fold Cross Validation Quiz
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K Fold Cross Validation Exercise
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K Means Clustering
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K Means Clustering Quiz
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K Means Clustering Exercise
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Naive Bayes Part 1
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Naive Bayes Part 2
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Naive Bayes part 2 Exersice
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Naive Bayes Quiz
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Naive Bayes Exercise
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Hyper parameter Tuning (GridSearchCV)
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Hyper parameter Tuning (GridSearchCV) Quiz
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Hyper parameter Tuning (GridSearchCV) Exercise
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L1 and L2 Regularization | Lasso, Ridge Regression
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L1 and L2 Regularization | Lasso, Ridge Regression Quiz
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K nearest neighbors classification with python code
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K nearest neighbors classification with python code Exercise
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Principal Component Analysis (PCA) with Python Code
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Principal Component Analysis (PCA) with Python Code Exercise
Machine Learning & Data Science Project - Real Estate Price Prediction Project
8 Lectures
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Introduction (Real Estate Price Prediction Project)
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Data Cleaning (Real Estate Price Prediction)
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Feature Engineering (Real Estate Price Prediction)
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Outlier Removal (Real Estate Price Prediction Project)
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Model Building (Real Estate Price Prediction Project)
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Python Flask Server (Real Estate Price Prediction)
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Website or UI (Real Estate Price Prediction Project)
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Deploy machine learning model to production AWS (Amazon EC2 instance)
Deep Learning
54 Lectures
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Introduction
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Why deep learning is becoming so popular?
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What is a neuron?
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What is a Neural Network?
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Install tensorflow 2.0
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Pytorch vs Tensorflow vs Keras
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Neural Network For Handwritten Digits Classification
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Activation Functions
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Derivatives
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Derivatives Exercise
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Matrix Basics
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Matrix Basics Exercise
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Loss or Cost Function
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Loss or Cost Function Exercise
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Gradient Descent For Neural Network
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Implement Neural Network In Python
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Stochastic Gradient Descent vs Batch Gradient Descent vs Mini Batch Gradient Descent
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Stochastic Gradient Descent vs Batch Gradient Descent vs Mini Batch Gradient Descent Exercise
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Chain Rule
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Tensorboard Introduction
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GPU bench-marking with image classification
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GPU bench-marking with image classification Exercise
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Customer churn prediction using ANN
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Customer churn prediction using ANN Exercise
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Precision, Recall, F1 score, True Positive
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Dropout Regularization
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Handling imbalanced dataset in machine learning
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Handling imbalanced dataset in machine learning Exercise
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Applications of computer vision
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Simple explanation of convolutional neural network
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Image classification using CNN (CIFAR10 dataset)
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Image classification using CNN (CIFAR10 dataset) Exercise
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Convolution padding and stride
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Data augmentation to address overfitting
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Transfer Learning
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Image classification vs Object detection vs Image Segmentation
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Popular datasets for computer vision: ImageNet, Coco and Google Open images
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Sliding Window Object Detection
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What is YOLO algorithm?
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Object detection using YOLO v4 and pre trained model
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What is Recurrent Neural Network (RNN)?
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Types of RNN | Recurrent Neural Network Types
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Vanishing and exploding gradients
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Simple Explanation of LSTM
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Simple Explanation of GRU (Gated Recurrent Units)
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Bidirectional RNN
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Converting words to numbers, Word Embeddings
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Word embedding using keras embedding layer
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What is Word2Vec?
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Implement word2vec in gensim
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Distributed Training On NVIDIA DGX Station A100
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Tensorflow Input Pipeline
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Tensorflow Input Pipeline Exercise
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Optimize Tensorflow Pipeline Performance: prefetch & cache
System Requirements
- Basic knowledge of Python
Course Instructor/Creator
This course includes:
- 1hr : 21min on-demand videos
- 85 Lectures
- 12 Quizzes
- Access on any Device
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