Lawrence-Krukrubo/Machine_Learning

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Lawrence-Krukrubo/Machine_Learning

Lawrence-Krukrubo

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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 )

Building-a-Content-Based-Movie-Recommender-System

Applying Content-Based filtering and Matrix-Algebra to build a Movie-Recommender-System in Pandas

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SQL_for_Data_Science

Applying SQL commands and properties to analyze Data From RDBMS

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Effective_Python

Intuitive and effective python concepts and best practices for Exploratory Data Analysis and Visualization.

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daily_coding_problems

Preparing for the coding interview, daily problems to develop craftsmanship in solving problems with coding.

EDA

Exploratory Data Analysis for insights... Using Public Data sets, web scraping and Unstructured Data

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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

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exploring_python_iterables-iterators

This Project explores Python's iterable objects like Lists, Tuples and strings and shows how effectively we can use the Pandas Chunksize() method to handle large data sets.

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Understanding_Multiple_Linear_Regression

Hard-coding a Multiple-Linear-Regression Model in Python using Matrix-Algebra and LSE

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Anomaly_Detection_in_Time_Series_Data_with_Keras

Anomaly Detection with Time-Series Data in Keras with Tensorflow Backend

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Atty_app

A project to take students attendance. Built via streamlit

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Explainable_AI_Detecting_COVID19-

This Repo houses projects that promote and display Fair, Explainable and Automated or Semi-Automated Artificial Intelligence.

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Text-Based-AI

Text classification, and processing via mainstream Machine Learning and Deep-Learning algorithms.

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IBM_Data_Specialization_Capstone_Project

This Repo contains the Applied Data Science Capstone-Project for the Data Science Professional Certification Specialization program designed and taught by IBM via Coursera. This Capsone-Project is the final course in a series of 9 Data Science Specialization courses which include the following:-

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