Analytics Vidhya

FEBRUARY 25, 2023

In this project, we’ll dive into the historical data of Google’s stock from 2014-2022 and use cutting-edge anomaly detection techniques to uncover hidden patterns and gain insights into the stock market.

Analytics 329

Analytics Analytics Data Visualization Data Analysis 329

Towards AI

NOVEMBER 17, 2023

Image by Author Tools The following tools were used to assist the data analysis process: Tableau: Used to create the visualizations. JupyterHub: Used to wrangle, clean, and prepare the dataset for visualization. Image by Author Mercedes continues to dominate f1, winning the constructors championship from 2014 to 2021.

Tableau 118

Tableau Data Science Data Analysis Data Analysis 118

Smart Data Collective

SEPTEMBER 25, 2019

Big data has been billed as being the future of business for quite some time. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The impact of big data is felt across all sectors of the economy. However, the future is now. The market for Hadoop jobs increased 58% in that timeframe.

Big Data 81

Big Data Big Data Data Scientist Data Science 81

Pickl AI

MAY 16, 2023

Data Scientist LinkedIn Profile Example Marla Smith, Senior Data Scientist at ABC Company Summary: Experienced data scientist with a strong background in statistical analysis, machine learning, and data visualization. Wrapping it up !!!

Data Scientist 52

Data Scientist Data Science SQL Python 52

Heartbeat

OCTOBER 13, 2023

This article explores the rich landscape of time series analysis in machine learning, focusing on how Comet, a powerful machine learning experiment management platform, can enhance the process. What is Time Series Analysis? In essence, it deals with sequences of data ordered chronologically.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Mlearning.ai

FEBRUARY 28, 2023

As a data scientist at Cars4U, I had to come up with a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing. In this analysis, I: provided summary statistics and exploratory data analysis of the data.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

ODSC - Open Data Science

JANUARY 29, 2024

Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies. Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52