AmirAli5/Natural-Language-Processing

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AmirAli5/Natural-Language-Processing

AmirAli5

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Natural language processing is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data. In this Repository, I have uploaded the NLP based Project.

100DaysOfMLCode

In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Raval’s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.

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Machine-Learning

In this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Machine Learning techniques either related to Healthcare, E-commerce, Sports, or Daily Business Issues.

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Deep-Learning

In this repo, all about Deep Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Neural Network Architectures.

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Data-Science-Intern-at-Data-Glacier

Data Science Intern at Data Glacier

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Python

In this repo, all about Python from basic to advanced. Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.

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Data-Preprocessing

In this repo, all about Data preprocessing. Data preprocessing is a required first step before any machine learning machinery can be applied, because the algorithms learn from the data and the learning outcome for problem solving heavily depends on the proper data needed to solve a particular problem – which are called features. Examples of data preprocessing include cleaning, instance selection, normalization, one hot encoding, transformation, feature extraction and selection, etc.

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Exploratory-Data-Analysis

In this repo, all about Exploratory Data Analysis(EDA).EDA is an approach to analyze the data using visual techniques. It is used to discover trends, patterns, or to check assumptions with the help of statistical summary and graphical representations.

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Data-Analytics-in-Excel

This repo on Data Analytics In Excel will help to understand the various crucial functions available in Excel, such as vlookup, hlookup, sumif/s, counif/s, iferror and others. Finally, you will see how to use the Data Analysis Toolpak to perform various data analysis operations such as:

Research-and-Development

In this Repository, I upload my Research and Development Projects which I have done in Bachelor’s Degree (2015-19). The Projects are An Approach for Spam Detection in YouTube Comments Based on Supervised Learning and Conversational AI Chatbot Based on Encoder-Decoder Architectures with Attention Mechanism.

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Master-in-Data-Science-at-WUT

In this repo, all about my Master Data Science progress which currently, I am pursuing at Warsaw University of Technology which is fully funded by the Polish National Agency for Academic Exchange (NAWA).

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AmirAli5

Hello, my name is Amir Ali. I am Data Science Student, Athlete, and Chess Lover. I finished my Bachelor’s Degree in Computer Science from the University of Engineering and Technology, Lahore. I am originally from Pakistan and currently live in Poland and Pursuing a Master's Degree in Data Science at Warsaw University of Technology which is fully funded by the Polish National Agency for Academic Exchange (NAWA).

Flask-Web-Framework

In this repo, all about Python Flask Web Framework. Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks.

Data-Science

The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data analytics.

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SQL

In this repo, all about Structured Query Language(SQL) which is used to communicate with a database. According to ANSI (American National Standards Institute), it is the standard language for relational database management systems. SQL statements are used to perform tasks such as update data on a database, or retrieve data from a database.

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Computer-Vision

Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain a high-level understanding of digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. In this Computer Vision Repository, I have upload five projects Related to Computer vision which I have done.

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NumPy

In this repo, all about NumPy which basically a Python Library used for multidimensional array. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely.

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Seaborn

In this repo, all about Seaborn which basically a Python Library used for making statistical graphics. Seaborn is a data visualization library built on top of matplotlib and closely integrated with pandas data structures in Python. Visualization is the central part of Seaborn which helps in exploration and understanding of data.

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Git-and-Github

In this repo, all about Git and Github. Git is open-source version control software, used for managing and tracking file revisions. It can be used with any file type, but is most often used for tracking code files. Git is the most widely used version control system in software development, and GitHub leverages this technology for its service, hence its name.

Jupyter-Notebook-Markdown

In this repo, all about Markdown in Jupyter Notebook. How to use and write different markup tags in Jupyter Notebook. A great benefit of Jupyter Notebook is that it allows you to combine both code (e.g. Python) and Markdown in one document, so that you can easily document your workflows.A Jupyter Notebook file uses cells to organize content, and it can contain both cells that render text written using the Markdown syntax as well as cells that contain and run Python code. Thus, you can use a combination of Markdown and Python code cells to organize and document your Jupyter Notebook for others to easily read and follow your workflow.

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Matplotlib

In this repo, all about Matplotlib which basically a Python Library used to create 2D graphs and plots by using python scripts. It has a module named pyplot which makes things easy for plotting by providing feature to control line styles, font properties, formatting axes etc.

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Pandas

In this repo, all about Pandas which basically a Python Library used for data analysis and associated manipulation of tabular data in DataFrames. Pandas allows importing data from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel.

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