Data Science Blog - Magnimind Academy - Page 2

Data Science Blog

How To Tune The Hyperparameters

How To Tune The Hyperparameters

Usually, knowing what values you should use for the hyperparameters of a specific algorithm on a given dataset is challenging. That’s why you need to explore various strategies to tune hyperparameter values. With hyperparameter tuning, you can determine the right mix of hyperparameters that would maximize the performance of your model.

read more
How To Makes Use Of Domain Knowledge In Data Science: Examples From Finance And Health Care

How To Makes Use Of Domain Knowledge In Data Science: Examples From Finance And Health Care

The domains of finance and health care don’t have much in common except for one thing - the involvement of data scientists and machine learning experts, who are changing the way both these domains work. From helping them collect, organize, and process a massive volume of data and making sense of it to letting them make efficient and faster data-driven decisions, a lot is happening to disrupt both these domains. Let’s consider some examples from both the finance and healthcare sectors to understand how the application of data science is helping them.

read more
How Many And Which Programs Should I Learn For Being A Skilled Data Scientist?

How Many And Which Programs Should I Learn For Being A Skilled Data Scientist?

To become a data scientist, you should have knowledge of a variety of programming languages, which include Python, R, Java, SQL, JavaScript, C/C++, and Scala, to name a few. But why do you need to learn these programming languages? Let’s find out the answers by taking a look at the top programs you should learn to make your career path in data science a smooth-sailing one

read more
Navigating An Economic Downturn: How To Plan A Career Switch To Data Science

Navigating An Economic Downturn: How To Plan A Career Switch To Data Science

Recently, there has been a massive layoff spree by top companies such as Google, Microsoft, and Meta. As difficult as it gets for those who are going through the layoffs, it is a challenge for those who are planning to switch careers. If you are one of those who is planning to switch to a career in data science, it is important to be strategic during these times.

read more
Comparing The Top Three RDBMS For Data Science: Microsoft SQL, MySQL, And PostgreSQL

Comparing The Top Three RDBMS For Data Science: Microsoft SQL, MySQL, And PostgreSQL

According to the Stackoverflow community survey in 2022, the respondents were asked which database environments they have done extensive development work in over the past year, and which they want to work in over the next year. Even though below answers have a mingle of relational database management systems with the others, in this article, we will compare the top three RDBMS: Microsoft SQL, MySQL, and PostgreSQL.

read more
Unlocking The Power Of Soft Skills In Data Science

Unlocking The Power Of Soft Skills In Data Science

Data science is a rapidly growing field that combines statistics, computer science, and domain knowledge to extract insights and predictions from data. While technical skills such as programming and machine learning are important for data scientists, soft skills -personal attributes and interpersonal abilities- are also crucial for success in this field.

read more
The Most Likely Problems In Data Analysis?

The Most Likely Problems In Data Analysis?

As a growing number of businesses and organizations rush to unlock the value of massive amounts of data to derive high-value, actionable business insights via data analysis, they are also facing certain problems. Here are the most common problems that you’re likely to face when performing data analysis:

read more