Topics: AI | Data Science | Data Visualization | Deep Learning | Machine Learning | NLP | Python | R | Statistics

About Ahmad Anis

Machine learning and Data Science Student. Loves #Python and #C++. Student of CS at IIU. Team IJT ❤️. 🇵🇰 Writer for kdnuggets and TDataScience. Twitter: @AhmadMustafaAn1.

Ahmad Anis Posts (14)

  • Silver BlogLearn Data Science for free in 2021 - 06 Jan 2021
    If you are considering starting a career path in machine learning and data science, then there is a great deal to learn theoretically, along with gaining practical skills in applying a broad range of techniques. This comprehensive learning plan will guide you to start on this path, and it is all available for free.
  • Data Compression via Dimensionality Reduction: 3 Main Methods - 10 Dec 2020
    Lift the curse of dimensionality by mastering the application of three important techniques that will help you reduce the dimensionality of your data, even if it is not linearly separable.
  • Silver BlogDo’s and Don’ts of Analyzing Time Series - 12 Nov 2020
    When handling time series data in your Data Science analysis work, a variety of common mistakes are made that are basic, but very important, to the processing of this type of data. Here, we review these issues and recommend the best practices.
  • Gold BlogTop 5 Free Machine Learning and Deep Learning eBooks Everyone should read - 05 Nov 2020
    There is always so much new to learn in machine learning, and keeping well grounded in the fundamentals will help you stay up-to-date with the latest advancements while acing your career in Data Science.
  • Gold BlogIntroduction to Time Series Analysis in Python - 24 Sep 2020
    Data that is updated in real-time requires additional handling and special care to prepare it for machine learning models. The important Python library, Pandas, can be used for most of this work, and this tutorial guides you through this process for analyzing time-series data.
  • Gold Blog4 ways to improve your TensorFlow model – key regularization techniques you need to know - 27 Aug 2020
    Regularization techniques are crucial for preventing your models from overfitting and enables them perform better on your validation and test sets. This guide provides a thorough overview with code of four key approaches you can use for regularization in TensorFlow.
  • Silver Blog5 Different Ways to Load Data in Python - 13 Aug 2020
    Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.
  • Gold BlogEasy Guide To Data Preprocessing In Python - 24 Jul 2020
    Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.
  • 3 Advanced Python Features You Should Know - 16 Jul 2020
    As a Data Scientist, you are already spending most of your time getting your data ready for prime time. Follow these real-world scenarios to learn how to leverage the advanced techniques in Python of list comprehension, Lambda expressions, and the Map function to get the job done faster.
  • Gold BlogGetting Started with TensorFlow 2 - 02 Jul 2020
    Learn about the latest version of TensorFlow with this hands-on walk-through of implementing a classification problem with deep learning, how to plot it, and how to improve its results.

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