Link — https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ Note: I highly recommend to have first hand experience from Andrew course only. This article is just having few main content/learnings from it for revision purpose. Load OpenAI Key Model used

When customers are looking to make an online purchase, an important factor involved in their search process is how quickly they are able to locate an item they want to buy. The use of recommendation systems is an important way to help link customers with what they are looking for. …

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. To find same, need to convert matrix into REF (Row Echelon Form) and then to RREF (Reduced row…

Search specific text in current : <grep -RilE “text1|text2”> Name of Operating System: <uname -a> and <hostnamectl>

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

Objectives → By end of this, you will be able to use Various Pre-trained NLP Models from TensorFlow Hub (thub.dev) Use transfer learning to fine tune text data Visualize Model Performance metric with Tensorboard Problem Statement → Detect Toxic Comment (Quora Insincere Questions Classification) !nvidia-smi → Command to tell GPU status