Introduction

Machine Learning Intuition
Course Overview
DO NOT SKIP IT | Resources Folder!
Install Anaconda and Python 3 on Windows 10
Install Anaconda and Python 3 on Ubuntu Machine
Install Anaconda and Python 3 on Mac Machine
Install Git Bash and Commander Terminal
Jupyter Notebook Shortcuts

Python Crash Course

Introduction
Data Types
Variable Assignment
String Assignment
List
Set
Tuple
Dictionary
Boolean and Comparison Operator
Logical Operator
If, Else, Elif
Loops in Python
Methods and Lambda Function

Numpy Introduction [Optional]

Introduction
Array
NaN and INF
Statistical Operations
Shape, Reshape, Ravel, Flatten
Sequence, Repetitions, and Random Numbers
Where(), ArgMax(), ArgMin()
File Read and Write
Concatenate and Sorting
Working with Dates

Pandas Introduction [Optional]

Introduction
DataFrame and Series
File Reading and Writing
Info, Shape, Duplicated, and Drop
Columns
NaN and Null Values
Imputation
Lambda Function

Spacy Introduction

Must Read This
Introduction to NLP
Install Spacy
Introduction to Spacy
Tokenization
Parts of Speech [POS] Tagging
Dependency Visualization
Named Entity Recognition (NER)
Sentence Segmentation
Rule Based Phrase Matching
Regular Expression Part 1
Regular Expression Part 2
Processing Pipeline in Spacy
Hashtags and Emoji Detection

Working with Text Files

String Formatting
Working with open() Files in write() Mode Part 1
Working with open() Files in write() Mode Part 2
Working with open() Files in write() Mode Part 3
Read and Evaluate the Files
Reading and Writing .CSV and .TSV Files with Pandas
Reading and Writing .XLSX Files with Pandas
Reading and Writing .JSON Files
Reading Files from URL Links
Extract Text Data From PDF
Record the Audio and Convert to Text
Convert Audio in Text Data
Text to Speech Generation

Complete Text Cleaning and Preprocessing

Must Read This
Introduction
Word Counts
Characters Counts
Average Word Length
Stop Words Count
Count #hashtag and @mentions
Numeric Digit Count
Upper case Words Count
Lower case Conversion
Contraction to Expansion
Count and Remove Emails
Count and Remove URLs
Remove RT from Tweeter Data
Special Chars Removal and Punctuation Removal
Remove Multiple Spaces
Remove HTML Tags
Remove Accented Chars
Remove Stop Words
Convert into Base or Root Form of Words
Common Words Removal
Rare Words Removal
Word Cloud Visualization
Spelling Correction
Tokenization with TextBlob
Nouns Detection
Language Translation and Detection
Sentiment Prediction with TextBlob

Text Cleaning and Preprocessing in Python | Software Packaging for PIP Install

Code Files Setup
Readme and License File Preparation
Setup.py Preparation
Utils.py Code Along Part 1
Utils.py Code Along Part 2
Utils.py Code Along Part 3
Utils.py Code Along Part 4
__init__.py Code Along
GitHub Account Setup and Package Upload
SSH Key Setup for GitHub
Install Preprocess Python Package
Removing the Errors Part 1
Removing the Errors Part 2
Testing the Package

Introduction to Machine Learning with Scikit-Learn

Logistic Regression Intuition
Support Vector Machine Intuition
Decision Tree Intuition
Random Forest Intuition
L2 Regularization
L1 Regularization
Model Evaluation Metrics: Accuracy, Precision, Recall, and Confusion Matrix
Model Evaluation Metrics: ROC and AUC
Code Along in Python Part 1
Code Along in Python Part 2
Code Along in Python Part 3
Code Along in Python Part 4

Spam Text Classification

Text Feature Extraction Intuition Part 1
Text Feature Extraction Intuition Part 2
Bag of Words (BoW) Code Along in Python
Term Frequency (TF) Code Along in Python
Inverse Document Frequency (IDF) Code Along in Python
TFIDF Code Along in Python
Load Spam Dataset
Balance Dataset
Exploratory Data Analysis (EDA)
Data Preparation for Training
Build and Train SVM and Random Forest Models
Test Your Model with Real Data

Real-Time Twitter Sentiment Analysis

Notebook Setup
SVM Model Training
Test Your Model
Data Cleaning and Retraining SVM Part 1
Data Cleaning and Retraining SVM Part 2
Fine Tune Your ML Model
Saving and Loading ML Model
Create Twitter Developer Account
Get the Access Tokens
Reading Twitter Timeline in Real-Time
Tracking Keywords in Real-Time on Twitter Part 1
Tracking Keywords in Real-Time on Twitter Part 2
Tracking Keywords in Real-Time on Twitter Part 3
Real-Time Sentiment Analysis with TextBlob
Real-Time Sentiment Analysis with Trained ML Model
Real-Time Twitter Sentiment Analysis of USA vs China Part 1
Real-Time Twitter Sentiment Analysis of USA vs China Part 2
Real-Time Twitter Sentiment Animation Plot Part 1
Real-Time Twitter Sentiment Animation Plot Part 2

Fine Tuning of ML Algorithms

What is Feature Dimensionality Reduction
Principal Components Analysis (PCA)
Linear Discriminant Analysis (LDA)
Non-Negative Matrix Factorization (NMF)
Truncated Singular Value Decomposition (TSVD)
TF-IDF and Sparse Matrix Part 1
TF-IDF and Sparse Matrix Part 2
TF-IDF and Sparse Matrix Part 3
Non-Negative Matrix Factorization (NMF) Code Along Part 1
Non-Negative Matrix Factorization (NMF) Code Along Part 2
Truncated Singular Value Decomposition (TSVD) Code Along
What is Hyperparameters Tuning
Hyperparameter Tuning Methods
Grid Search for Hyperparameters with K-Fold Cross-Validation
GridSearch for Logistic Regression Hyperparameters Tuning Part 1
GridSearch for Logistic Regression Hyperparameters Tuning Part 2
GridSearch for SVM Hyperparameters Tuning Part 1
GridSearch for SVM Hyperparameters Tuning Part 2
Grid Search for Random Forest Classifier Hyperparameters Tuning
Random Search for Best Hyperparameters Selection
Selecting Best Models from Multiple ML Algorithms

Sentiment Analysis on IMDB Movie Reviews with TF-IDF Text Embedding

How Sentiment is Detected from Text Data
Text Preprocessing Package Install
Text Cleaning and Preprocessing
Data Preparation for Model Training
ML Model Building and Training
Logistic Regression Model Evaluation
Traning and Hyperparameters Tuning of SVM
Load and Store ML Model

ML Model Deployment with Flask

Install Flask
Run Flask Server
Model Preparation with Flask
Running Flask App with ML Model Part 1
Running Flask App with ML Model Part 2

Multi-Label Text Classification for Stack Overflow Tag Prediction

Getting Familiar with Data
What is Multi-Label Classification
Loading Dataset
Multi-Label Binarization
Text to TFIDF Vectors
Model Building and Jaccard Score
Improving and Saving the Model

Sentiment Analysis using Word2Vec Text Embedding

What is word2vec
How to Get word2vec
Word Vectors with Spacy
Semantic Similarity with Spacy
Data Preparation
Data Preprocessing
Get word2vec from DataFrame
Split Dataset in Train and Test
ML Model Traning and Testing
Support Vector Machine on word2vec
Grid Search Cross Validation for Hyperparameters Tuning
Test Every Machine Learning Model

Emotion Recognition in Text Data using GloVe Vectors Text Embedding

What is GloVe Vectors Part 1
What is GloVe Vectors Part 2
Download Pre-trained GloVe Vectors
Data Preparation
Preprocessing and Cleaning of Emotion Text Data
Load GloVe Vector
Text to GloVe Vectors
Text to GloVe on Pandas DataFrame
ML Model Training and Testing
Support Vector Machine for Emotion Recognition
Predict Text Emotion with Custom Data

Resume and CV Parsing using Spacy

Must Read This
What is Resume and CV Parsing
How to Prepare Training Dataset
Data Preparation
NER with Spacy Part 1
NER with Spacy Part 2
NER with Spacy Part 3
Model Testing
Congrats You Have Made It!

Sentiment Analysis using Deep Learning

What is Deep Learning?
What Makes Deep Learning State-of-the-Art?
How Deep Learning Works?
Types of Neural Networks in Deep Learning - ANN
Types of Neural Networks in Deep Learning - CNN
How Deep Learning Learns?
What is the Difference Between Deep Learning and Machine Learning?
Build ANN - Steps for Building Your First Model
Python Package Installation
Data Preprocessing
Get the word2vec
Train Test and Split
Feature Standardization
ANN Model Building and Training
Confusion Matrix Plot
Setting Custom Threshold
1D CNN Model Building and Training
Plot Learning Curve
Model Load, Store and Testing

Hate Speech Classification | Multi-Class Classification with CNN

Hate Speech Classification Introduction?
Import Python Package
Dataset Balancing
Text Preprocessing
Text Tokenization
Train Test and Split
Build and Train CNN
Model Testing
Testing with Custom Data
Load Store Model

Poetry Generation Using Tensorflow, Keras, and LSTM

Introduction to Reccurent Neural Network (RNN)
Types of RNN
The Problem of RNN's or Long-Term Dependencies
Long Short Term Memory (LSTM) Networks
Sequence Generation Scheme
Loading Poetry Dataset
Tokenization
Prepare Training Data
Padding
LSTM Model Training
Poetry Generation Part 1
Poetry Generation Part 2

Disaster Tweets Classification using Deep Learning Word Embeddings

Disaster Tweets Dataset Understanding
Download Dataset
Target Class Distribution
Number of Characters Distribution in Tweets
Number of Words, Average Words Length, and Stop words Distribution in Tweets
Most and Least Common Words
One-Shot Data Cleaning
Disaster Words Visualization with Word Cloud
Classification with TF-IDF and SVM
Prediction on Test Data
Classification with Word2Vec and SVM
Word Embeddings and Classification with Deep Learning Part 1
Word Embeddings and Classification with Deep Learning Part 2

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Quick Facts

Course and certificate fees

Fees information

certificate availability

certificate providing authority

The syllabus

Introduction

Python Crash Course

Numpy Introduction [Optional]

Pandas Introduction [Optional]

Spacy Introduction

Working with Text Files

Complete Text Cleaning and Preprocessing

Text Cleaning and Preprocessing in Python | Software Packaging for PIP Install

Introduction to Machine Learning with Scikit-Learn

Spam Text Classification

Real-Time Twitter Sentiment Analysis

Fine Tuning of ML Algorithms

Sentiment Analysis on IMDB Movie Reviews with TF-IDF Text Embedding

ML Model Deployment with Flask

Multi-Label Text Classification for Stack Overflow Tag Prediction

Sentiment Analysis using Word2Vec Text Embedding

Emotion Recognition in Text Data using GloVe Vectors Text Embedding

Resume and CV Parsing using Spacy

Sentiment Analysis using Deep Learning

Hate Speech Classification | Multi-Class Classification with CNN

Poetry Generation Using Tensorflow, Keras, and LSTM

Disaster Tweets Classification using Deep Learning Word Embeddings

Articles

Popular Articles

Trending Courses

Popular Courses

Popular Platforms

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Download the Careers360 App on your Android phone

Popular Searches

Natural Language Processing in Python for Beginners

Online

₹ 449 2999

Quick Facts

Course and certificate fees

Fees information

certificate availability

certificate providing authority

The syllabus

Introduction

Python Crash Course

Numpy Introduction [Optional]

Pandas Introduction [Optional]

Spacy Introduction

Working with Text Files

Complete Text Cleaning and Preprocessing

Text Cleaning and Preprocessing in Python | Software Packaging for PIP Install

Introduction to Machine Learning with Scikit-Learn

Spam Text Classification

Real-Time Twitter Sentiment Analysis

Fine Tuning of ML Algorithms

Sentiment Analysis on IMDB Movie Reviews with TF-IDF Text Embedding

ML Model Deployment with Flask

Multi-Label Text Classification for Stack Overflow Tag Prediction

Sentiment Analysis using Word2Vec Text Embedding

Emotion Recognition in Text Data using GloVe Vectors Text Embedding

Resume and CV Parsing using Spacy

Sentiment Analysis using Deep Learning

Hate Speech Classification | Multi-Class Classification with CNN

Poetry Generation Using Tensorflow, Keras, and LSTM

Disaster Tweets Classification using Deep Learning Word Embeddings

Articles

Popular Articles

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Thank You!

Download the Careers360 App on your Android phone