Folks, I am really glad you are here. My blog is solely created to help share knowledge on Artificial Intelligence (AI) topics. Please feel free to reach out to me on my personal email id **rpdatascience@gmail.com** if you have any question or comments related to any topics. Happy to connect with you on LinkedIn https://www.linkedin.com/in/ratnakarpandey/

- Setup Python environment
- How to start jupyter notebook
- Open Jupyter Notebook in Browser of your Choice
- Install and check Packages
- Arithmetic operations
- Comparison or logical operations
- Assignment and augmented assignment in Python
- Variables naming conventions
- Types of variables in Python and typecasting
- Python Functions
- Exception handling in Python
- String manipulation and indexing
- Conditional and loops in Python
- Python data structure and containers
- Introduction to Python Numpy
- Introduction to Python SciPy
- Conduct One Sample and Two Sample Equality of Means T Test in Python
- Introduction to Python Pandas
- Python pivot tables
- Pandas join tables
- Missing value treatment
- Dummy coding of categorical variables
- Outliers, Missing Values, Dummy Coding
- Exploratory Data Analysis using Pandas-Profiling Package
- Basic statistics and visualization
- Data standardization or normalization
- Machine Learning & Data Science Intro and FAQs
- Linear Regression with scikit- learn (Machine Learning library)
- Lasso, Ridge and Elasticnet Regularization in GLM
- Classification Algorithm Evaluation Metrics
- Logistic Regression with scikit- learn (Machine Learning library)
- Hierarchical clustering with Python
- K-means clustering with Scikit Python
- Decision trees using Scikit Python
- Decision Trees Basics and Modeling
- Regression Decision Trees with Scikit Python
- Support Vector Machine using Scikit Python
- Hyperparameters Optimization using Gridsearch and Cross Validations
- Principal Component Analysis (PCA) using Scikit Python- Dimension Reduction
- Linear Discriminant Analysis (LDA) using Scikit Python- Dimension Reduction and Classification
- Market Basket Analysis or Association Rules or Affinity Analysis or Apriori Algorithm
- Recommendation Engines using Scikit-Surprise
- Price Elasticity of Demand using Log-Log Ordinary Least Square (OLS) Model
- Timeseries Forecasting using Facebook Prophet Package
- Timeseries Forecasting using Pyramid ARIMA Package
- Model Persistence and Productionalization Using Python Pickle
- Deep Learning- Introduction to deep learning and environment setup
- Deep Learning- Multilayer perceptron (MLP) in Python
- Deep Learning- Convolution Neural Network (CNN) in Python
- Wordcloud using Python nltk library
- How to install H2O.ai web UI or flow for Machine Learning and Deep Learning
- Introduction to Ensemble Modeling and working example on Random Forest
- Face Recognition using Python Open Source Libraries
- Tweets Extraction and Sentiment Analysis using Tweepy and NLTK
- Introduction to AutoGluon and Building a Classification Model

Cheers!

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