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