Data life cycle

The data analysis process is a part of the data life cycle and both are related as they involve managing data for specific purposes. While they are similar in utilizing data, they differ in terms of their scope and focus.

Data Preprocessing In Python – Data Analytics

Data preprocessing is a critical step in data analysis, which involves preparing and cleaning raw data to make it suitable for analysis. This step is important because raw data often contains errors, inconsistencies, missing values, and other issues that can adversely affect the quality and accuracy of the results obtained from the analysis.

Open AI – Chat GPT 3 vs Chat GPT 4

Microsoft has announced that GPT-4, the next version of OpenAI's ChatGPT, will be released next week with video features. The new version will be able to generate videos and provide faster and more human-like responses. The multimodal model will enable users to interact through multiple modes, including text, images, and sounds. OpenAI is also working on a mobile app that will allow users to make videos with AI assistance. Microsoft has invested heavily in OpenAI, and GPT-4 is expected to be introduced into Bing search soon.

Download Ai Bot

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. It involves developing algorithms and computer programs that can perform tasks that would normally require human intelligence, such as learning, problem-solving, decision-making, and language understanding. An AI bot is an application or software program …

Import csv in Python [Jupyter]

In this we discussed how to import csv in python and get first 5 rows from csv and save it on another sheet. import pandas as pd #Read the CSV filedf = pd.read_csv('annual-enterprise-survey-2021-financial-year-provisional-csv.csv') #Select the first 10 rowsdf_subset = df.head(5) display(df) #Save the selected rows to a new CSV filedf_subset.to_csv('First-5-Rows.csv', index=False)

Data Analyst – Roadmap

As a data analyst, there are several skills and knowledge areas you should focus on to excel in your role. Here's a roadmap that can guide you through your journey:

Complete Roadmap of Machine Learning [Monthly Plan]

Month 1: Get familiar with the basics of machine learning and its applications. Study linear algebra and statistics, which are important for machine learning. Install Python and familiarize yourself with the basics of the language, such as data types, variables, functions, and control structures. Get comfortable with the fundamental libraries for data manipulation and visualization …