Data Science Dojo

JULY 5, 2023

The development of a Machine Learning Model can be divided into three main stages: Building your ML data pipeline: This stage involves gathering data, cleaning it, and preparing it for modeling. For data scrapping a variety of sources, such as online databases, sensor data, or social media.

Machine Learning 195

Machine Learning Machine Learning EDA ML 195

Dataconomy

JULY 28, 2023

In the digital age, the abundance of textual information available on the internet, particularly on platforms like Twitter, blogs, and e-commerce websites, has led to an exponential growth in unstructured data. Text data is often unstructured, making it challenging to directly apply machine learning algorithms for sentiment analysis.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

FEBRUARY 22, 2024

Programs like Pickl.AI’s Data Science Job Guarantee Course promise data expertise including statistics, Power BI , Machine Learning and guarantee job placement upon completion. It emphasises probabilistic modeling and Statistical inference for analysing big data and extracting information.

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

APRIL 3, 2025

Exploratory Data Analysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!) to understand the data’s main characteristics, distributions, and relationships. Think of it as preparing your ingredients before cooking. This helps formulate hypotheses.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

JULY 10, 2024

AI encompasses various technologies and applications, from simple algorithms to complex neural networks. On the other hand, ML focuses specifically on developing algorithms that allow machines to learn and make predictions or decisions based on data. Key Features: Challenging problem sets to build coding and algorithm skills.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Pickl AI

APRIL 26, 2024

I conducted thorough data validation, collaborated with stakeholders to identify the root cause, and implemented corrective measures to ensure data integrity. I would perform exploratory data analysis to understand the distribution of customer transactions and identify potential segments.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

JULY 25, 2023

Collaborating with data scientists, to ensure optimal model performance in real-world applications. With expertise in Python, machine learning algorithms, and cloud platforms, machine learning engineers optimize models for efficiency, scalability, and maintenance. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52