20th Feb 2023 - 15 minutes read

In today's data-driven world, data science has emerged as a crucial field for making informed decisions and extracting valuable insights from data. Whether you're a seasoned data scientist, a newbie looking to learn, or someone seeking specific data-related assistance, ChatGPT has got you covered. In this comprehensive guide, we will explore 60 ChatGPT prompts tailored to various data science needs. For each prompt, we'll explain its purpose and provide examples of how it can be used.

1. Train Classification Model
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-Harshit Singh

25th Dec 2022 - 5 minutes read

Machine Learning (ML) is a powerful field that allows computers to learn from data and make predictions or decisions without explicit programming. It has applications in various domains, from healthcare to finance to self-driving cars. But before we dive into the world of complex algorithms and predictive models, there's a crucial step that often gets overlooked: data preparation and cleaning.

Why is Data Preparation and Cleaning Essential?
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-Harshit Singh

2nd Dec 2022 - 5 minutes read

The world of data science is booming, and with it comes a growing demand for skilled data scientists. If you're aspiring to enter this exciting field, you need to navigate the job hunt successfully. In this comprehensive guide, we'll break down each step of the data science job search process, explaining key concepts and offering practical tips for success.

Understanding the Data Scientist Role
1.1 Job Description - Read more

-Harshit Singh

2nd Dec 2022 - 5 minutes read

Embarking on a journey to master data science and machine learning is an exciting and rewarding endeavor. This comprehensive roadmap is designed to guide you through the essential skills and concepts required to become proficient in these fields. Broken down into 12 sections and spanning a duration of 100 hours, or roughly 2 to 3 months, this roadmap covers everything from Python programming fundamentals to advanced machine learning techniques, data visualization, and even cloud deployment. Let's delve into each section in detail.

Section 1: Python Programming and Logic Building
Python serves as the cornerstone.... - Read more

-Harshit Singh

27th Nov 2022 - 5 minutes read

In the world of statistics, hypothesis tests are powerful tools used to evaluate the validity of assumptions or ideas based on data. Imagine you're the coach of a professional football team, faced with a decision regarding the performance of two players. One player, the new sensation, has a remarkable scoring rate with five goals in two matches. On the other hand, the current star player has a scoring rate of one goal per match but has played 100 matches. You find yourself in a dilemma – is the new player truly a better scorer, or is this just a lucky streak? Hypothesis tests can help you make informed decisions.

Common Tests:
Hypothesis tests come in various forms, each suited for different types of data and situations. Here, we'll - Read more

-Harshit Singh

14th Nov 2022 - 8 minutes read

Statistics Introduction
Statistics is a powerful tool used across various fields like science and business to make informed decisions. It provides us with accurate knowledge that helps us understand and predict outcomes. In this blog, we'll delve into the world of statistics, its typical steps, and its various applications.

Typical Steps of Statistical Methods:
When dealing with statistics, there are some typical steps to follow: - Read more

-Harshit Singh

1st June 2022 - 2 minutes read

Machine learning is built on the fundamentals of mathematics. However, you do not need to know or understand all the maths to learn and code.

What do I Believe??
I strongly believe that mathematics for data science is very important but many people might find it fearsome to face the maths. It might feel that just because you don't have a solid background in maths, stats, or computer science, you can't pursue data science.

Objective
In this blog, I have attempted to list out basic mathematical elements you need to know before starting a data science career. Even not having expertise in them won’t affect your journey. - Read more

-Harshit Singh& Nityanad Mathur

1st June 2022 - 2 minutes read

What Is data science? Multidisciplinary field that brings together concepts from computer science, statistics/machine learning, and data analysis to understand and extract insights from the ever-increasing amount of data.

Key Tip To be great at data science :
Always be curious about the world and ask these two questions to yourself, often:
1. What can we learn from this data?
2. What actions can we take to find the trend in the data? - Read more

- Harshit Singh

29th May 2022 - 1 minutes read

1) The best mathematics algorithm makes accuracy, training time, model complexity, number of parameters, and number of features finer.
2) Choosing parameter values and validation methods to increase efficient.
3)The Bias-Variance tradeoff allows you to identify underfitting and overfitting issues that normally occur while executing the program.
4)Determining the correct confidence interval and uncertainty.

-Harshit Singh