Remove Apache Hadoop Remove Exploratory Data Analysis Remove Natural Language Processing
article thumbnail

Data Science Career FAQs Answered: Educational Background

Mlearning.ai

Blind 75 LeetCode Questions - LeetCode Discuss Data Manipulation and Analysis Proficiency in working with data is crucial. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA).

article thumbnail

Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Prescriptive Analytics Projects: Prescriptive analytics takes predictive analysis a step further by recommending actions to optimize future outcomes. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data. 6. Analyzing Large Datasets: Choose a large dataset from public sources (e.g.,

article thumbnail

Introduction to R Programming For Data Science

Pickl AI

R’s machine learning capabilities allow for model training, evaluation, and deployment. · Text Mining and Natural Language Processing (NLP): R offers packages such as tm, quanteda, and text2vec that facilitate text mining and NLP tasks.