Lawrence A. Krukrubo's repositories
Machine_Learning
Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )
Effective_Python
Intuitive and effective python concepts and best practices for Exploratory Data Analysis and Visualization.
SQL_for_Data_Science
Applying SQL commands and properties to analyze Data From RDBMS
Advanced-Data-Science
Advanced concepts in Data Science. Including advenced machine learning and signal processing, dimensionality reduction processes, handling Big-Data with Apache-spark, plotting Big-data and lots more
Text-Based-AI
Text classification, and processing via mainstream Machine Learning and Deep-Learning algorithms.
Analyzing-The-Presidential-Debates
Exploring Sentiments, key-phrase extraction and Inferences from the two Presidential debates between Trump and Biden...
7CS033
Data Mining & Informatics
AIMA-QnA
Questions and Answers from AIMA 3rd Edition, including some projects
alxt_nanodegree
projects and exercises for the Udacity Data Analyst Nanodegree
AzureML-SDK
Activating the suite of Machine Learning solutions in AzureML including EDA, model building, testing and deployment as well as specialized services, all via python
Calculus_Vol_1
Introduction to Calculus For Data Science
ciml
A Course in Machine Learning
Data_structures_and_algorithms_python
Data Structures and Algorithms in Python
essential_linear_algebra
Essential Linear Algebra for Data Science...
Foundational_Maths_for_AI
Foundational Mathematics for Data Science and AI... Considering Calculus, Functions, Sequels, Series, Limits, Derivatives, Exponents, Logarithms, Matrix-Algebra and much more.
fraud_analyst_assignment
Requisite Aanlytical Assignment for Fraud Analyst Role
GADS2020_Cloud_Practice_Project
Screen-shots of at least 15 completed Labs and some CLI translations files for the challenge period
Linear-Algebra
The Complete Linear-Algebra Experience Required For Data Science...
Mastering-OpenCV4-with-Python
Going from zero to Hero with Python for Computer Vision...
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Parts-of-Speech-tagging-HMM
Build a Hidden markov Model to tag parts of Speech.
Predicting_California_Housing_Prices
Hard-coding a Neural Network from scratch to Predict California Housing Prices...
Pyspark_Projects
EDA, Machine-Learning and Deep-Learning on Big Data with Pyspark
SQL-Python_analysis_San-Francisco_Crime-Data
Applying Advanced SQL and Python Analysis to the San-Francisco Crime Data
Tensorflow_learning_at_Udacity
Machine Learning and Deep Learning applications with Tensorflow by Lawrence A. Krukrubo
udacity_intro_to_ml_wt_tensorflow
With Lectures and Programming Assignment from Udacity, Bartelsmann Scholarship