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…

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…
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…
Legal Disclaimer – This research is not an investment advisory or a sales pitch. Objective Predict monthly asset price (main stock indices, commodities, bonds) and direction (Higher/Lower) using…
Legal Disclaimer – This research is not an investment advisory or a sales pitch. Objective Identify the relationship between asset prices (main stock indices, commodities, bonds) and macroeconomic…
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…
Objective Observe and improve the results of running regression algorithms (Random Forest Regression, Support Vector Regression, Artificial Neural Networks) on daily macroeconomic data to predict daily currency prices…
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…
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…
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…
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…
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…
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…