Back

The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

Day3 of 100 days of code Today work Completed assigments of python Functions Learn statistics Probability

Hi everyone , if you are a beginner in Data Science or wish to start , then this post is for you. Linear Regression is one of the first things you need to learn in ML. It is not just about the code . Code is not the important thing, you can make Chat

guess i want to learn DSA in python how can I master itt Do anyone knows how can I

Essential Concepts for Interview Preparation Top 10 SQL Concepts for Job Interviews 1. Aggregate Functions (SUM/AVG) 2. Group By and Order By 3. JOINs (Inner/Left/Right) 4. Union and Union All 5. Date and Time Processing 6. String Proces

Steps to Enter Data Science 1. Learn the Basics: Master programming languages like Python and R, as well as tools like TensorFlow, sci-kit-learn, and Tableau. 2. Choose Your Field: Select a specific industry, such as healthcare or finance, and lear

We developed a deep neural network for forecasting internal resource demand across systems, expecting it to outperform traditional models. But in deployment, a simple linear regression delivered better accuracy, stability, and faster inference times.

NumPy 2.0: A Game Changer (Released June 2024) NumPy 2.0, released in June 2024, is a major update for scientific computing in Python. Here's what's exciting: Variable-length strings: Finally! Store and manipulate text data with ease using new `Str

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin