As we discussed the basics of graphs and networks in the previous tutorial, that is why graphs are important for relational data, and some examples of graphs. Along with that, we also discussed some considerations and problems that are to be kept in mind whilst drawing the graphs. In this […]
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Visualization of Graphs and Networks – Part I
Up till now, in Data Visualization and Analysis, we have discussed data in which data points were independent of one another. For such data points, we used the visualizations like scatterplots, dot plots, etc. However, since we live in a connected world, and the data is relational, means that the […]
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Data Visualization and Analysis Part I
Data Visualization is an important factor in data science to effectively communicate insights. Visualizing is far easier to understand than a complex explanation, especially when we have a comprehensive data. It is basically creating or generating graphical representation of the information or the data. These graphical representations are often known […]
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Machine Learning- An Introduction
Machine Learning is a branch of AI and Data Science that mainly focuses on using data and algorithms to simulate how humans learn, gradually increasing the system’s accuracy. Machine learning is an essential component of the growing field of data science. Through the use of statistical methods, algorithms are trained […]
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Data Cleaning in Python
Data Cleaning is one of the most essential tasks while handling datasets. Often, the data is not clean, jumbled up, missing, duplicate, and unuseful data. Data needs to be cleaned before proceeding to the next task, Machine Learning. Machine Learning requires smooth and clean data in order to work. So, […]
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Data Science Lecture 2: Data Visualization
The study of how to visually portray data is known as data visualisation. It effectively communicates findings from data by visually displaying the data. We may obtain a visual overview of our data via data visualisation. The human mind processes and comprehends any given data more easily when it is […]
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Data Science Lecture 1″ Reading a .csv Dataset using Pandas
Pandas is a module in Python, used for data manipulation, and is an essential tool for Data Sciences and Machine Learning. In this article, we will learn how to read a .csv dataset into a Jupyter Notebook/Google Colab using the Pandas Module. Step 1: Import the Pandas Module using the […]
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Pandas Cheat Sheet
Here are the functions in the pandas’ module or library:
Read MoreHow to train a dataset using sklearn library?
In order to apply Machine Learning, we need to train the dataset we are using. For that we use a library in Python, called sklearn. It is very simple and straightforward method. For this, we need to follow some steps, as mentioned below: An example of how you can use […]
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What is Artificial Intelligence?
Artificial intelligence (AI) is the branch of computer science that deals with the development of intelligent machines that can perform tasks that require human-like intelligence, such as learning, problem-solving, and decision making. The field of AI has come a long way since its inception in the 1950s, and today, AI […]
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