Pickl AI

MAY 30, 2024

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. billion INR by 2027.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Mlearning.ai

APRIL 25, 2023

Photo by Juraj Gabriel on Unsplash Data analysis is a powerful tool that helps businesses make informed decisions. In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. df = df.dropna() df.isnull().sum() sum() df['rating'].value_counts()

Data Analysis 52

Data Analysis Data Analysis Python Exploratory Data Analysis 52

Pickl AI

DECEMBER 3, 2024

With the explosion of data in recent years, it has become essential for data scientists and Machine Learning practitioners to understand and effectively apply preprocessing techniques. Loading the dataset allows you to begin exploring and manipulating the data. During EDA, you can: Check for missing values.

Python 52

Python ML ML Exploratory Data Analysis 52

Pickl AI

JANUARY 3, 2024

Skill Demand: Machine Learning skills are in high demand globally, contributing to a 23% expected churn in the job market by 2027. Our aim is to build a robust foundation in core Machine Learning concepts and offer hands-on experience in Exploratory Data Analysis and Feature Engineering. between 2023 and 2030.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Deep Learning 52