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Showing posts from 2019

SQL Fundamentals Course

Reproducibility in Machine Learning: Reproducibility Challenge

Improving Centroid-Based Text Summarization through LDA-based Document Centroids

Modified MNIST: Exploring State-of-the-art Deep Learning Classification Architectures

Kaggle Multiclass Reddit Classification

Linear Regression: Statistics & Matrix Differential Calculus

Machine Learning 101: Implementing Logistic Regression and LDA from scratch

Perceptron "Neural Network" from scratch

FSA, FST & Matrix Norms - Chalkboard review

Review: Statistical Thinking in Python (Part 1)

Deep learning topic modeling with LDA on Gensim & spaCy in French

Review: DataCamp Intermediate R

Advanced Natural Language Processing with spaCy

Natural Language Processing Fundamentals with Python

Advanced Regression with Scikit-learn, pandas, numpy, matplotlib and seaborn

Supervised Learning with Scikit-learn

Python Data Science Toolbox (Part 2)

Python Data Science Toolbox (Part 1)

DataCamp: Intro to SQL for Data Science

DataCamp - Introduction to R

DataCamp - Intermediate Python for Data Science

DataCamp - Introduction to Python Certification

Full ANOVA RBD analysis with R