Mazedur's repositories
Python_Problem_Solving_Exercises
Practice Python by Solving Interactive Python Exercises. The exercises range from various levels. The exercises cover different Python areas, such as functions, data structures and algorithms, files, classes, code introspection, code optimization, and more. The section on data structures and algorithms is the biggest one, and it's beneficial for those interested in data science.
Data_Visualization_with_ggplot2
ggplot2 is a R package dedicated to data visualization. It can greatly improve the quality and aesthetics of your graphics
Machine-Learning-with-Python
Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.
Object_Oriented_Programming_in_Python
It is based on details about OOP in python. Later, it will be focused on OpenCV and Computer Vision domain area in which are to be implemented. This is brainstorming for revise OOP concepts area in Python
Artificial_Neural_Network
Artificial Neural Networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains.
Code_with_Ruby
Ruby is a language released by Yukihiro Matsumoto in 1995 that bills itself as "a programmer's best friend". Every aspect of Ruby is designed to make programming easier for the developer. Ruby also serves as the foundation for Ruby on Rails, a popular web framework that powers over 1.2 million websites worldwide
Data-Analysis-with-Pandas-and-Python
Data Analysis with Pandas and Python
Data-Visualization-with-Seaborn
Seaborn is a data visualization library which provides a high-level interface to draw statistical graphs. It is built on top of Python’s core visualization library, Matplotlib. Seaborn extends the Matplotlib library for creating aesthetically pleasing graphs. Internally Seaborn uses Matplotlib to draw plots, so it complements the Matplotlib library but is not a replacement to it. Matplotlib is highly customizable, but it is hard to know what settings to tweak to render nice plots. Seaborn comes with a number of customized themes and a high-level interface for controlling the look of Matplotlib figures.
Data_Manipulation_with_dplyr_in_R
Data Manipulation with R is data wrangling with one of the most powerful R packages - dplyr. Data manipulation is a vital data analysis skill – actually, it is the foundation of data analysis. The goal of data preparation is to convert your raw data into a high quality data source, suitable for analysis. More often than not, this process involves a lot of work. The dplyr package contains the tools that can make this work much easier.
Data_Structure_and_Data_Types_in_Python
Python Data Types : String, Lists, Tuple, Dictionary, Set
Data_Structures_and_Algorithms_Python
Analyze, Implement Data Structures and Algorithms using Python With Interview Questions. It will prepare for ready to work as an Intern, Fresher, Developer and Freelancer
Deep_Learning
aiQuest & StudyMart - Deep Learning & NLP with Python
Design_Pattern_Python
Demonstration on Design Pattern in Python from Tecognize Solutions Limited
Django_Blogging_System_CBV
A Blogging System Application with Python & Django Framework using generic Class Based Views (CBV) techniques
Exploratory_Data_Analysis_with_R
Exploratory Data Analysis with R
Machine_Learning_with_R
Machine learning is a branch of computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions.
Natural_Language_Processing
NLP with Machine Learning Algorithms, Spacy, NLTK, TextBlob for Text Processing, Text Classification, Feature Extraction, and Feature Engineering
Object-Oriented-Design-in-Java
Don't just learn Java! Try to write practical industry standard object oriented software. Design and develop software using best practices in Object oriented programming. Apply design patterns such as Strategy, Observer, Template Method, Factory, and Builder
Problem_Solving_with_Data_Structure_and_Algorithms
Problem Solving with Data Structures and Algorithms using C / C++
Python-Django-Framework
Django is a Python-based free and open-source web framework that follows the model-template-view (MVT) Architectural Pattern. It is maintained by the Django Software Foundation. Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It's free and open source
Regression_Analysis_in_R
Regression Analysis using R ( Prediction & Classification )
Ruby-on-Rails-7-REST-API-From-Scratch
Ruby on Rails 7 REST API From Scratch
Ruby_on_Rails_Industry_in_Bangladesh
Career Opportunities in Ruby on Rails In Bangladesh ( All Lists of Companies )
startbootstrap-sb-admin-2
A free, open source, Bootstrap admin theme created by Start Bootstrap
Statistical_Analysis_with_R
R is a freely distributed software package for statistical analysis and graphics, developed and managed by the R Development Core Team, (CRAN). It provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, and graphical techniques, and is highly extensible.