capstone_project_commodity_analysis_hs-2level

This capstone project will analyze the commodity market for HS2LEVELS. The project will investigate the factors that influence the price of HS2LEVELS, such as supply and demand and economic conditions. The project will also develop a model to predict future prices for HS2LEVELS.

capstone_project_uber

capstone_project_zomato

exploratory-data-analysis

EDA is a critical step in the data analysis process, which involves examining and understanding the characteristics, patterns, and relationships within a dataset. EDA helps to uncover insights, identify data quality issues, detect outliers, and gain a preliminary understanding of the data before applying any specific modeling techniques.

india-crop

ipl-on-powerbi

linkedin-

machine-learning

Machine learning is a growing technology which enables computers to learn automatically from past data.

machine-learning-application-using-pycaret

A machine learning app developed with PyCaret is designed to leverage the PyCaret library to streamline and simplify the development and deployment of machine learning models. PyCaret is an open-source Python library that provides an intuitive and efficient framework for end-to-end machine learning workflows.

mnist-dataset-cnn

parkison

pickle

In Python, the pickle module is used for object serialization and deserialization. Serialization is the process of converting an object into a byte stream, which can be saved to a file or transferred over a network. Deserialization, on the other hand, is the process of reconstructing the object from the serialized byte stream.

python-fundamentals

Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. It was created by Guido van Rossum and first released in 1991. Python emphasizes code readability and has a design philosophy that emphasizes clear and concise code syntax, making it easy for beginners to learn and use.

random-forest

Random Forest is a popular machine learning algorithm that belongs to the ensemble learning family. It is primarily used for both classification and regression tasks. The algorithm combines the predictions of multiple individual decision trees to make more accurate and robust predictions.

sentiments

Sentiment analysis categorizes the emotional tone of text, using natural language processing and machine learning. It helps businesses gain insights from customer feedback, social media, and more, to understand public opinion, make data-driven decisions, and manage brand reputation.

sonerikhi

Who am I ? What am I?

suicides-in-india

tableau

Tableau is a powerful data visualization and business intelligence tool developed by Tableau Software. It allows users to create interactive and dynamic visual representations of their data, enabling them to gain insights, identify patterns, and make data-driven decisions.

visualisation

Visualization in Python refers to the creation of graphical representations, such as plots, charts, and graphs, to visually explore and present data. Python provides several libraries that offer rich functionalities for data visualization, making it a popular choice for creating informative and visually appealing visualizations.

word-cloud

A word cloud visually represents text data, with words sized by frequency or importance. It summarizes key themes or concepts in a visually appealing way, allowing quick analysis. Word clouds are used for data exploration and visualization, providing insights but requiring additional analysis for a comprehensive understanding.

word_cloud__generator

A word cloud app generates visual representations of text data, with words sized according to their frequency or importance. Users input text or import data, and the app creates a customizable graphic. It is used for data visualization, content analysis, and presentations, summarizing information in a visually engaging way.