Data Science Dojo

JUNE 1, 2023

Machine Learning with TensorFlow by Google AI This is a beginner-level course that teaches you the basics of machine learning using TensorFlow , a popular machine-learning library. The course covers topics such as linear regression, logistic regression, and decision trees.

Machine Learning 195

Machine Learning Machine Learning Natural Language Processing Deep Learning 195

ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. To help you stay ahead of the curve, ODSC APAC this August 22nd-23rd will feature expert-led training sessions in both data science fundamentals and cutting-edge tools and frameworks. Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

Pickl AI

MARCH 20, 2024

R, with its robust statistical capabilities, remains a popular choice for statistical analysis and data visualization. Data wrangling and preprocessing Data seldom comes in a pristine form; it often requires cleaning, transformation, and preprocessing before analysis.

Data Science 52

Data Science Data Scientist Data Wrangling Data Visualization 52

Pickl AI

MAY 31, 2023

Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. Machine Learning: Data Science aspirants need to have a good and concise understanding on Machine Learning algorithms including both supervised and unsupervised learning.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

FEBRUARY 12, 2024

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

JULY 10, 2023

Most common R Libraries for Data Science In Data Science, you can find several R Libraries and perform different tasks. Some of the best R libraries are as follows: Dplyr: The dplyr tool is used for performing data wrangling and analysis and make many functions for the data frame in R thus, making it easier to use.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52