In this lecture, we will study analysis of Time series data. Step -01: Read data and make sure that you convert date column datatype to DateTime object. data = pd.read_csv('airline-passenger-traffic.csv', header = None) data.columns = ['Month','Passengers'] data['Month'] = pd.to_datetime(data['Month'], format='%Y-%m') data = data.set_index('Month') data.head(12) Step-02: Plot Time Series data data.plot(figsize=(12…

In this lecture, we will study Application, Types, Basic Terminology, Basic Approach and three Principles of forecasting. Application of Forecasting Economic Outlook → Government use Sales Forecasting → how many products goes to sell (Sales figure) and decide production amount in factory Inventory Planning → How much to stock in…

Objective of writing: Preparing Notes or my learnings from course — Statistics Foundations: The Basics. Don’t have any intention to spam. Mean, Median and Mode Mean → Average

In our previous Lecture 01, we studied about Matrix Operations (Initialization, Vector, Multiplication, Transpose, Special Matrix) https://medium.com/math-for-data-science/math-for-data-science-bits-wilp-program-58417c654665 In this lecture, we will study Elementary row operations to find solution of linear equations. …

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In this lecture, we will study Matrix Operations (Initialization, Vector, Multiplication, Transpose, Special Matrix) via Python. Matrix Definition Matrix Notation

In Language Model, we find probability of sentence. Decoder in Machine Translation system is same as Language Model and a<0> in language model is similar to Encoder in Machine Translation. In M/C Translation, we use beam search instead of greedy search.