Phylis Jepchumba, MSc articles - 36 total
🚀 How to Load Datasets Efficiently in Pandas: A Complete Guide 📊 Want to master data loading in Pandas? Whether you're working with CSV, Excel, JSON, SQL, or Parquet files, knowing how to efficiently read datasets is essential for data analytics.
How to Load Datasets Efficiently in Pandas: A Complete Guide ...
How to Load Datasets Efficiently in Pandas: A Complete Guide
"Without data, you're just another person with an opinion." — W. Edwards Deming In today’s...
Are you a data analyst or aspiring to be one? Here are 7 must-know Python libraries that will help you clean, analyze, visualize, and model data like a pro! From Pandas for data manipulation to Scikit-learn for machine learning
Top 7 Python Libraries Every Data Analyst Should Know in 2025 ...
Top 7 Python Libraries Every Data Analyst Should Know in 2025
Introduction Python has become the go-to language for data analytics due to its simplicity,...
Crafting Compelling Data Narratives:A Comprehensive Look at Chart Types in Power BI.
Introduction Did you know that boring columns and rows can be used to convey compelling...
Embarking on a Data-Driven Journey: Exploring Monitoring and Evaluation
Happy New Year, everyone! It's been a while since I last shared some exciting articles here, but I'm...
Introducing Kids to Coding Through Tkinter: A Fun Path to Python's Graphical User Interfaces
Introduction In the journey of teaching kids to code, we've covered the fundamental...
🎉 Surpassing 1000 Followers on Dev Community! 🎉😊🌺
I am incredibly thrilled and humbled to announce that I have just crossed the remarkable milestone of...
Exploring MLOps Tools and Frameworks: Enhancing Machine Learning Operations
Having established an understanding of MLOps (Machine Learning Operations) and its benefits in...
MLOps 101: A Beginner's Guide to Understanding Machine Learning Model Operations
Introduction: In the dynamic realm of data science and machine learning, the introduction...
Overcoming Imposter Syndrome in the Tech Industry: Strategies and Communities to Build Confidence
As a woman in tech with a background in software engineering and currently pursuing a Master of...
Scikit-Learn Code Snippets for Common Machine Learning Tasks: A Comprehensive Guide for Beginners
Introduction Machine learning is a subfield of artificial intelligence that has gained...
Exploring the World of Machine Learning: Definition, Types, Applications, and Upcoming Trends for 2023.
Introduction. Machine learning has emerged as a revolutionary force that is...
How to Perform Exploratory Data Analysis with Python
Introduction Exploratory data analysis (EDA) is an essential step in the data science...
A Beginner's Guide to Feature Selection in Machine Learning: Techniques and Tips
Introduction to Feature Selection. As a data scientist, one of the crucial steps in the...
Self Guide to becoming a Data Analyst
Data analytics is making a new wave in the corporate world as it is the hottest profession in this...
Login/Registration Form with Python Flask and MySQL.
Requirements Download and install Python, for this tutorial I'll be using Python...
Getting started with Docker & Flask.
Introduction Docker makes it easier, simpler and safer to build, deploy and manage...
Introduction to Data structures and Algorithms in Python
Data structures are a way of organizing and storing data so that they can be accessed and worked with...
Day 3: Python Functions.
Day 3 of 30DaysOfPython ♠️What is a Function in Python? ♠️How to define and call a function in...
Day 2: Introduction to Control Flow in Python
Day 2 of The 30 Days of Python. Introduction to Control Flow In Python What is...
30DAYS OF PYTHON
Day 1 of the 30 Days Of Python. What python is. Python programming paradigms: Imperative,...
Handling Forms in Flask using Flask-WTF
Flask provides a flask-WTF extension that makes form handling easy and structured. This article...
What is Data Wrangling? Definition, Benefits and data wrangling operations.
Data wrangling, also known as data munging and data cleaning enables businesses tackle complex data...
How to handle missing Values in a dataset using Python.
What is missing data? Missing data, or missing values, occur when no data value is stored...
Python Libraries Every Data Scientist Must Know.
Pandas. Pandas is a fast, powerful, flexible and easy to use open source data analysis and...
Web Scraping 101! Introduction to Web Scraping in Python.
Web Scraping makes it easier and faster when you have to pull a large amount of data from...
Walmart Store Sales Forecasting
The walmart dataset provides historical sales data of 45 stores of Walmart, each having various...
Intoduction to Flask-RESTful API.
Definition of terms Representational State Transfer (REST) We can define REST as software...
Implementing Machine Learning steps using Regression Model.
From our previous article we looked at the machine learning steps. Lets now have a look at how to...