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AmMoPy/README.md

Hi there 👋

I like building stuff to detect stuff! Leveraging data and analytics to deliver real insights, empower people, challenge constructively and build an enduring relationship with all stakeholders.

Explore my artefacts here or there: YouTube, Kaggle and find more about me there LinkedIn

ForYou

Title Description Link
All of Natural Language Processing Solid Intro to NLP concepts using pre-trained MPNET model for Semantic Search task matching questions to their correct answers! leaderboard, code
All of Machine learning Solid Intro to ML concepts using different methods to calculate Linear regression coefficients! code
Mixed Naive Bayes Algorithm Implementing Naive Bayes algorithm from scratch in Python; A single model for both Categorical & Numeric data vid, code
Identifying and Measuring Risk Learn about Probability distributions; performing risk assessment and Monte Carlo simulation in Python vid, code
Exploratory Data Analysis Tutorial Step by step Exploratory Data Analysis tutorial vid, code
Regression Linear Algebra POV Learn how Linear Regression Model works and the Mathematics behind it vid, code
Statistics For Machine learning Learn to apply Statistical Inference (Frequentist), test assumptions and draw conclusions vid, code
Assessing Machine Learning Models Exploring several classification metrics and related interpretations vid - Accuracy, vid - Recall, vid - Precision, vid - Confusion Matrix, code
Beyond Modeling Example for deploying Machine Learning models using Flask code
Natural Language Processing for Fraud Investigations Processing Emails for leads that would be helpful in a Fraud Investigation - Real Case Study using public data code
Data Visualization Collection of different data visualization techniques using Seaborn and Matplotlib modules code

Courses

Title From Link
Mathematics for Machine Learning and Data Science Specialization DeepLearning.AI Certificate
Google Advanced Data Analytics Specialization Google Certificate

Pinned

  1. Mixed_Naive_Bayes_Classifier Mixed_Naive_Bayes_Classifier Public

    Naive Bayes Classifier as a single model for both Categorical and Numeric data

    Jupyter Notebook 1

  2. semantic-search-question-answer semantic-search-question-answer Public

    Matching questions to correct answers using pre-trained BERT models.

    Jupyter Notebook

  3. Probability_Distribution_Risk_Monte_Carlo Probability_Distribution_Risk_Monte_Carlo Public

    Performing risk assessment and Monte Carlo simulation using Python programming language.

    Jupyter Notebook

  4. General_Linear_Model_GLM_ANOVA_T-test General_Linear_Model_GLM_ANOVA_T-test Public template

    Statistical analysis using GLM

    Jupyter Notebook

  5. Simple_Multiple_Bayesian_Linear_Regression Simple_Multiple_Bayesian_Linear_Regression Public

    Gentle yet comprehensive introduction to regression

    Jupyter Notebook

  6. Deploying_Machine_Learning_Model Deploying_Machine_Learning_Model Public

    Deploying Machine Learning Model using Flask

    Python