Scope of Analytics, Companies and Career Paths, Analytical Tools,
Challenges faced in Analytics, Comparative study of the terms Artificial
Intelligence, Machine Learning, Deep Learning and Big Data
The role of Statistics in engineering, engineering method and statistical thinking, Descriptive statistics, Inferential statistics, Probability theory and distribution, Tests of hypothesis, Distance measures and central limit theorem, t –test on a sample data, ANOVA and Chi square tests.
Numpy library in Python provides a high-performance multidimensional array and basic tools to
compute with and manipulate arrays (data) used for different types of scientific and engineering
applications.
Pandas are a library written for the Python programming language for data manipulation and analysis. It is preferred and widely used tools in data munging/wrangling.
Machine learning is a subset of Artificial Intelligence and Data Science which focuses on the development of computer programs that can access data and use it learn for themselves.
Scikit-learn is a library in Python that provides many unsupervised and supervised learning algorithms
Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.
Vehicle Identification
How much did it rain
Inventory Demand
Property Inspection prediction
Restaurant Revenue prediction
IMDB Box office Prediction
Employee Access challenge
Titanic
San Francisco crime
Customer satisfaction
Trip type classification
Categorize cuisine
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