by lochan2014 | Jul 29, 2024 | AI & ML
Data preprocessing is a crucial step in machine learning. It involves cleaning and transforming raw data into a format suitable for modeling. Data Cleaning Data cleaning involves identifying and correcting errors, inconsistencies, and inaccuracies in the data such as... by lochan2014 | Jul 29, 2024 | AI & ML
In this lesson, we’ll cover essential Python libraries for machine learning: NumPy, Pandas, Matplotlib, and Scikit-Learn. NumPy NumPy is a library for numerical computations in Python. It provides support for arrays, matrices, and many mathematical functions.... by lochan2014 | Jul 29, 2024 | AI & ML
What is AI? Artificial Intelligence (AI) is the simulation of human intelligence in machines that are programmed to think and learn like humans. AI systems can perform tasks such as visual perception, speech recognition, decision-making, and language translation. What... by lochan2014 | Jul 29, 2024 | AI & ML
My Posts in this series will follow below said topics. Introduction to AI and ML What is AI? What is Machine Learning? Types of Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Key Terminologies Python for Machine Learning Introduction... by lochan2014 | Jul 29, 2024 | AI & ML
What is AI? Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn. These systems can perform tasks that typically require human intelligence, such as visual perception, speech recognition,... by lochan2014 | Jul 28, 2024 | Python
Python provides various libraries and functions to manipulate dates and times. Here are some common operations: DateTime Library The datetime library is the primary library for date and time manipulation in Python. datetime.date: Represents a date (year, month, day)... by lochan2014 | Jul 26, 2024 | Pyspark
Optimization in PySpark is crucial for improving the performance and efficiency of data processing jobs, especially when dealing with large-scale datasets. Spark provides several techniques and best practices to optimize the execution of PySpark applications. Before... by lochan2014 | Jul 23, 2024 | Python
Error and Exception Handling: Python uses exceptions to handle errors that occur during program execution. There are two main ways to handle exceptions: 1. try-except Block: The try block contains the code you expect to execute normally. The except block handles... by lochan2014 | Jul 7, 2024 | Pyspark
String manipulation is a common task in data processing. PySpark provides a variety of built-in functions for manipulating string columns in DataFrames. Below, we explore some of the most useful string manipulation functions and demonstrate how to use them with... by lochan2014 | Jul 2, 2024 | Pyspark
Creating DataFrames in PySpark Creating DataFrames in PySpark is essential for processing large-scale data efficiently. PySpark allows DataFrames to be created from various sources, ranging from manual data entry to structured storage systems. Below are different ways...