Code with Mahzaib

So you can find Machine Learning projects in Python with Datasets available.

Find projects from the link in the bio!

Post Collaborated with .science.beginners 🤝

There are several types of SQL queries that you can use to manipulate and retrieve data from a relational database. Here are some of the most common types of SQL queries:

SELECT: This query is used to retrieve data from one or more tables in a database.

INSERT: This query is used to add new records to a table in a database.

UPDATE: This query is used to modify existing records in a table in a database.

DELETE: This query is used to delete records from a table in a database.

JOIN: This query is used to combine data from two or more tables in a database based on a common column.

GROUP BY: This query is used to group rows in a table based on the values in one or more columns.

HAVING: This query is used to filter the results of a GROUP BY query based on a condition that applies to the aggregated data.

ORDER BY: This query is used to sort the results of a SELECT query by one or more columns.

These are just a few of the most common types of SQL queries. There are many other types of queries and functions available in SQL, depending on the specific database management system you are working with.

Post Collaborated with .science.beginners 🤝

There are several types of SQL queries that you can use to manipulate and retrieve data from a relational database. Here are some of the most common types of SQL queries:

SELECT: This query is used to retrieve data from one or more tables in a database.

INSERT: This query is used to add new records to a table in a database.

UPDATE: This query is used to modify existing records in a table in a database.

















DELETE: This query is used to delete records from a table in a database.

JOIN: This query is used to combine data from two or more tables in a database based on a common column.

GROUP BY: This query is used to group rows in a table based on the values in one or more columns.

HAVING: This query is used to filter the results of a GROUP BY query based on a condition that applies to the aggregated data.

ORDER BY: This query is used to sort the results of a SELECT query by one or more columns.

These are just a few of the most common types of SQL queries. There are many other types of queries and functions available in SQL, depending on the specific database management system you are working with.

Post Collaborated with .science.beginners ✨

Sure, here's a summary of our conversation on data science tools:

◼️Languages for Data Science:

▪️Python and R are two of the most popular programming languages for data science

▪️Other languages used in data science include SQL, Java, Scala, and MATLAB

◼️Data Platforms in Data Science:

▪️Hadoop, Spark, and NoSQL databases are popular platforms for managing and processing large volumes of data in data science

◼️Data Exploration and Visualization tools in Machine Learning:

▪️Popular data exploration and visualization tools include Pandas, Matplotlib, Seaborn, and Tableau

◼️Machine Learning tools in Data Science:

▪️Popular machine learning libraries include scikit-learn, TensorFlow, and PyTorch

◼️Artificial Intelligence tools for Data Science:

▪️AI tools used in data science include natural language processing (NLP) libraries, computer vision libraries, and reinforcement learning libraries

◼️Development tools in Data Science:

▪️Popular development tools for data science include Jupyter Notebook, RStudio, Spyder, SQL Workbench/J, Git, and Docker

◼️Data Ingestion tools for Data Science:

▪️Popular data ingestion tools in data science include Apache Kafka, Apache NiFi, Apache Flume, AWS Glue, and Apache Sqoop

I hope that helps summarize our conversation!