Bahati Mulishi

Joined August 2024

34 stories

Stories (34)

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data science concepts
Data Cleaning: Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in a dataset. It is a crucial step in the data science pipeline as it ensures the quality and reliability of the data.
By Bahati Mulishiabout a year ago in Geeks
Python in Data Science 📊
Essential Python Libraries to build your career in Data Science 1. NumPy: - Efficient numerical operations and array manipulation.
By Bahati Mulishiabout a year ago in Geeks
How to get started with data science
Many people who get interested in learning data science don't really know what it's all about. They start coding just for the sake of it and on first challenge or problem they can't solve, they quit.
By Bahati Mulishiabout a year ago in Geeks
Top 10 basic programming concepts
Top 10 basic programming concepts 1. Variables: Variables are used to store data in a program, such as numbers, text, or objects. They have a name and a value that can be changed during the program's execution.
By Bahati Mulishiabout a year ago in Education
30-day roadmap to learn C++
Week 1: C++ Basics *Day 1-2:* - Day 1: Install a C++ compiler (e.g., Visual Studio, Code::Blocks, or g++) and write your first "Hello, World!" program.
By Bahati Mulishiabout a year ago in Geeks
𝘁𝗶𝗽𝘀 𝗳𝗼𝗿 𝗻𝗲𝘄 𝗰𝗼𝗱𝗲𝗿𝘀
1. Learn Fundamentals: Use W3Schools, FreeCodeCamp, or MDN for solid basics. 2. Watch and Code Along: Follow YouTube tutorials to code in real-time.
By Bahati Mulishiabout a year ago in Education
Most Important Mathematical Equations
Most Important Mathematical Equations in Data Science! 1️⃣ Gradient Descent: Optimization algorithm minimizing the cost function.
By Bahati Mulishiabout a year ago in Geeks
how to get dream data science job
Use this checklist to see if you’re truly JOB-READY. The more items you complete, the closer you are to landing your dream data science job! 😎
By Bahati Mulishiabout a year ago in Geeks
How to Learn Java in 2024. AI-Generated.
1. Set Clear Goals: - Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?
By Bahati Mulishiabout a year ago in Geeks
Data Tips
Essential Data Analysis Techniques Every Analyst Should Know 1. Descriptive Statistics: Understanding measures of central tendency (mean, median, mode) and measures of spread (variance, standard deviation) to summarize data.
By Bahati Mulishiabout a year ago in Geeks