Pickl AI

NOVEMBER 4, 2024

Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). Scikit-learn covers various classification , regression , clustering , and dimensionality reduction algorithms. These concepts help you analyse and interpret data effectively.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Concepts such as probability distributions, hypothesis testing , and Bayesian inference enable ML engineers to interpret results, quantify uncertainty, and improve model predictions. Participating in the ML Community Attending conferences, joining webinars, and reading research papers provide valuable insights into emerging trends.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

DECEMBER 4, 2024

Concepts such as probability distributions, hypothesis testing, and regression analysis are fundamental for interpreting data accurately. This includes supervised learning techniques like linear regression and unsupervised learning methods like clustering.

Data Science 52

Data Science Data Scientist Data Wrangling Machine Learning 52

Pickl AI

APRIL 26, 2024

Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. I regularly participate in online courses, webinars, and conferences related to data analytics. You’re tasked with predicting sales for a retail store.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52