Pickl AI

NOVEMBER 4, 2024

Scikit-learn covers various classification , regression , clustering , and dimensionality reduction algorithms. Perform exploratory Data Analysis (EDA) using Pandas and visualise your findings with Matplotlib or Seaborn. Additionally, learn about data storage options like Hadoop and NoSQL databases to handle large datasets.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. These models may include regression, classification, clustering, and more.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Mlearning.ai

MAY 23, 2023

This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). Blind 75 LeetCode Questions - LeetCode Discuss Data Manipulation and Analysis Proficiency in working with data is crucial. Familiarity with libraries like pandas, NumPy, and SQL for data handling is important.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 20, 2023

Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA). Create customized marketing efforts for each market sector by using clustering algorithms or machine learning techniques to group customers with similar characteristics.

Analytics 40

Analytics Analytics Big Data Big Data 40