Tutorial
Data Science Process
Most data science problems can be solved by following a standard process Process Flow diagram with some details is given below. This is just one of the many…
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Category: Training
Tutorials, courses, books, websites for data science training and learning.
Tutorial
Common NLP Tasks and Libraries
Common NLP tasks (Sentiment, Keyword, Topic, Summary, etc) using main libraries (HuggingFace Transformers, Spacy, Pytorch, Tensorflow, Scikit, etc) Idea is to show how to perform different NLP (Natural…
Tutorial
RandomForest Regression model for predicting US 10 year Treasury Bond Prices using Macroeconomic Data
Building a #datascience #machinelearning #algorithm is relatively simple. 8 lines of #python code. It’s the other process steps that require most of the work – problem definition, #datawrangling,…
Video
DataWisdomX – Data Science course – Introductory videos to all lectures
Please check out the introduction video playlist on youtube to all lectures. It will give you an idea about what is being taught in the course and help…
Tutorial
Data Science – End 2 End Beginners Course Part 1 – Machine Learning and Data Analytics
Announcing the launch of our online course on Udemy and other online platforms. Udemy course link is – https://www.udemy.com/course/datascience-e2e-beginnerscourse-machinelearning-dataanalytics/learn/lecture/25000096#overview Data Science is a multi-disciplinary profession which requires a…
AI Brief
KDnuggets – Top Data Science, Machine Learning Methods Used, 2018/2019
Very interesting post by KDnuggets on machine learning methods being used. Lot of increase in usage for deep learning neural network algorithms. Regression, Decision Trees and Random Forest…
Research
First image of a Black Hole built using Python
First M87 Event Horizon Telescope Results. III. Data Processing and Calibration Abstract We present the calibration and reduction of Event Horizon Telescope (EHT) 1.3 mm radio wavelength observations…
Tutorial
ML Map – Choosing the right algorithm for your problem
Often the hardest part of solving a machine learning problem can be finding the right estimator (algorithm) for the job. Different estimators are better suited for different types…
Tutorial
Pandas for Data Wrangling – tutorial, cheat sheet
Pandas is a powerful python library for data manipulation. It requires limited query level optimisation as its functions can perform rapid data manipulation and analysis on the entire…
Tutorial
Data Wrangling – preprocessing
Data Wrangling(preprocessing, prep, etc) is the most important and time consuming part of any data science project. Depending on the quality of data sources, 50%-60% of the initial…
Tutorial
Open source Data science libraries – AI, ML, NLP
Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, etc. One of…
Tutorial
Open source Data science Tools – Anaconda, Spyder, Python
The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X. https://www.anaconda.com/ Spyder is a powerful scientific…