Udemy Courses

Data Visualization in Python Masterclass™: Beginners to Pro

Visualisation in matplotlib, Seaborn, Plotly & Cufflinks, EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.

What you’ll learn

  • Learn Complete Exploratory Data Analysis on the Covid-19 Dataset
  • Learn EDA on Kaggle’s Boston Housing and Titanic Datasets
  • Learn IPL Cricket Matches and FIFA World Cup Matches Analysis and Visualization
  • Learn Data Visualization by Plotly and Cufflinks, Seaborn, matplotlib, and Pandas
  • Learn Interactive plots and visualization
  • Installation of python and related libraries.
  • Covid-19 Dataset Analysis and Visualization in Python
  • Use the Numpy and Pandas in data manipulation
  • Learn Complete Text Data EDA
  • Create a variety of charts, Bar Charts, Line Charts, Stacked Charts, Pie Charts, Histograms, KDE plots, Violinplots, Boxplots, Auto Correlation plots, Scatter Plots, Heatmaps
  • Learn Data Analysis by Pandas.
  • Use the Pandas module with Python to create and structure data.
  • Customize graphs, modifying colors, lines, fonts, and more

Natural Language Processing (NLP) in Python for Beginners

Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam & CV Parsing

What you’ll learn

  • Learn complete text processing with Python
  • Learn how to extract text from PDF files
  • Use Regular Expressions for search in the text
  • Use SpaCy and NLTK to extract complete text features from raw text
  • Use Latent Dirichlet Allocation for Topic Modelling
  • Use Scikit-Learn and Deep Learning for Text Classification
  • Learn Multi-Class and Multi-Label Text Classification
  • Use Spacy and NLTK for Sentiment Analysis
  • Understand and Build word2vec and GloVe based ML models
  • Use Gensim to obtain pre-trained word vectors and compute similarities and analogies
  • Learn Text Summarization and Text Generation using LSTM and GRU

NLP: Natural Language Processing ML Model Deployment at AWS

Build & Deploy BERT, DistilBERT, FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2.

What you’ll learn

  • Complete End to End NLP Application
  • How to work with BERT in Google Colab
  • How to use BERT for Text Classification
  • Deploy Production-Ready ML Model
  • Fine Tune and Deploy ML Model with Flask
  • Deploy ML Model in Production at AWS
  • Deploy ML Model at Ubuntu and Windows Server
  • DistilBERT vs BERT
  • Optimize your NLP Code
  • You will learn how to develop and deploy FastText model on AWS
  • Learn Multi-Label and Multi-Class classification in NLP