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Building-a-Content-Based-Movie-Recommender-System
Applying Content-Based filtering and Matrix-Algebra to build a Movie-Recommender-System in PandasMachine_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 )SQL_for_Data_Science
Applying SQL commands and properties to analyze Data From RDBMSEffective_Python
Intuitive and effective python concepts and best practices for Exploratory Data Analysis and Visualization.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 DataAdvanced-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 moreexploring_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.Understanding_Multiple_Linear_Regression
Hard-coding a Multiple-Linear-Regression Model in Python using Matrix-Algebra and LSEAnomaly_Detection_in_Time_Series_Data_with_Keras
Anomaly Detection with Time-Series Data in Keras with Tensorflow BackendExplainable_AI_Detecting_COVID19-
This Repo houses projects that promote and display Fair, Explainable and Automated or Semi-Automated Artificial Intelligence.Text-Based-AI
Text classification, and processing via mainstream Machine Learning and Deep-Learning algorithms.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:-Love Open Source and this site? Check out how you can help us