DEV Community: Levin

Python - Numpy

Levin — Sat, 07 Jan 2023 04:10:53 +0000

Dear, everyone.
This is the final step of "HackInScience Python Exercises" series.
I've finished all the numpy exercises and share them on my Github.

Abelian sandpiles
Make your own 2048 in Python!
Dirichlet solver

Hope my work would be little bit helpful for python beginners.
To encourage me to continue, please follow me on Github

Best Regards.

Python — Command line

Levin — Fri, 06 Jan 2023 03:53:56 +0000

Dear, everyone.
This is fourth step of "HackInScience Python Exercises" series.
I've finished all the command line exercises and share them on my Github.

Print parameters
Print the first parameter
Simple adder
Calculator
Fir tree

Hope my work would be little bit helpful for python beginners.
To encourage me to continue, please follow me on Github

Best Regards.

Python - Realist

Levin — Thu, 05 Jan 2023 08:10:24 +0000

Dear, everyone.
This is third step of "HackInScience Python Exercises" series.
I've finished all the realist exercises and share them on my Github.

Longest word
Print sorbet flavors
Sets of love
Sort students
Reverse Roman Numerals
Select students
Friday the 13th
The missing card
Playing with anagrams
Currency
Flatten lists
Perfect deck shuffle
Hearts emojis
Text framing
Draw N Squares
Student class
Print battery charge
Side by side
Format your output
Roman Numerals
Caesar Cypher
Break a safe
Password Generator
bencode, bdecode
Restaurant menu
Py Master Mind
Elementary cellular automaton
Temperature class
Sequence Mining
Change for 42€
IRC logs as CSV

Hope my work would be little bit helpful for python beginners.
To encourage me to continue, please follow me on Github

Best Regards.

Python-Training

Levin — Thu, 22 Dec 2022 19:23:45 +0000

Dear, everyone.
This is second step of "HackInScience Python Exercises" series.
I've finished all the trianing exercises and share them on my Github.

Distance
Check if a number is prime
Sum of every prime number below n
Print every prime numbers in a range
Next prime
The Fibonacci sequence
Exceptions
Display the date and time
Print the content of a file
Pernicious numbers
Product of iterable
Count the lower 'e' in the 'words' file
Is divisible by ?
Frequency of letters in a file
Doing HTTP requests
Largest product in a series
Lambda expressions
Longest Collatz sequence
Largest product in a grid
CSV and Python
Pascal's triangle

Hope my work would be little bit helpful for python beginners.
To encourage me to continue, please follow me on Github

Best Regards.

Python-Basics

Levin — Wed, 21 Dec 2022 02:37:00 +0000

Dear, everyone.
This is first step of "HackInScience Python Exercises" series.
I've finished all the basic exercises and share them on my Github.

Hello World
Print 42
Number of seconds in a year
Using operators
Characters counting
Fix the indentation
Square numbers
Powers of two
Import
Comparisons
Counting Words
First function
Print even numbers
Sum of even numbers <= 100
Multiples of 3 and 5
Temperatures
Print every two letters pairs
Print every pair of distinct letters

Hope my work would be little bit helpful for python beginners.
To encourage me to continue, please follow me on Github

Best Regards.

60 Days of Data Science and Machine Learning

Levin — Thu, 15 Sep 2022 14:55:20 +0000

Hello, everyone.

Followings are fifth week of this series. You can find them on my GitHub. You can run all the notebook on colab or jupyter notebook as well.

Day 31 - Machine Learning Linear Regression

Topic : Univariate linear regression
Day 32 - Multiple Linear Regression

Topic : Multiple linear regression
Day 33 - Logistic Regression Project1

Topic : Logistic Regression
Day 35 - Principle Component Analysis

Topic : Principle Component Analysis
Day 36 - Advanced Regression Techniques Part1

Topic : Advanced Regression Techniques
Day 37 - Advanced Regression Techniques Part2

Topic : Advanced Regression Techniques
Day 38 - Support Vector Machine

Topic : SVM (Support Vector Machine)
Day 39 - Scikit-learn

Topic : Basics of Scikit learn
Day 40 - Tensorflow

Topic : Basics of Tensorflow

Hope my work would be little bit helpful for AI enthusiastic.
If that, please star that repository then follow me on Github and Dev.to

https://github.com/levintech
https://dev.to/levintech
Best Regards.

60 Days of Data Science and Machine Learning

Levin — Tue, 06 Sep 2022 16:05:24 +0000

Hello, everyone.

Followings are fourth week of this series. You can find them on my GitHub. You can run all the notebook on colab or jupyter notebook as well.

Day 22 - All the important ML algorithms

Topic : Quick overview of ML algorithms
Day 24 - Machine Learning Classification Project2 Part1

Topic : ML Classification on Customer Review and Analysis in details
Day 25 - Machine Learning Classification Project2 Part2

Topic : ML Classification on Customer Review and Analysis in details
Day 26 - Machine Learning Clustering Project1 Part1

Topic : Machine Learning Clustering with Customer Segmentation
Day 27 - Machine Learning Clustering Project1 Part2

Topic : Machine Learning Clustering with Customer Segmentation
Day 28 - Machine Learning Clustering Project2 Part1

Topic : Machine Learning Clustering with Suctomer Personality Analysis
Day 29 - Machine Learning Clustering Project2 Part2

Topic : Machine Learning Clustering with Suctomer Personality Analysis
Day 30 - Machine Learning Clustering Project2 Part3

Topic : Machine Learning Clustering with Suctomer Personality Analysis

Hope my work would be little bit helpful for AI enthusiastic.
If that, please star that repository then follow me on Github and Dev.to

https://github.com/levintech
https://dev.to/levintech
Best Regards.

60 Days of Data Science and Machine Learning

Levin — Wed, 24 Aug 2022 07:09:06 +0000

Hello, everyone.

Following are third week of this series. You can find them on my github repository. You can run all the notebook on colab or jupyter as well.

Day 15 - Repression Part2

Topic : Support Vector Regression, Decision Tree Regression and Random Forest Regression
Day 17 - Kaggle's Annual Machine Learning and Data Science Survey Part1

Topic : Data Cleaning, Preprocessing, EDA and etc
Day 18 - DecisionTreeRegressor and RandomForestRegressor

Topic : Implement Regressor with Decision Tree and Random Forest
Day 19 - Kaggle's Annual Machine Learning and Data Science Survey Part2

Topic : Data Cleaning, Preprocessing, EDA and etc
Day 20 - Detailed Crypto Analysis

Topic : Basic intuition to buid model to predict
Day 21 - Detailed Analysis of the Netflix Content

Topic : Detailed analysis of the Netflix Content

Hope my work would be little bit helpful for AI enthusiastic.
If that, please star that repository then follow me on Github and Dev.to

https://github.com/levintech
https://dev.to/levintech
Best Regards.

60 Days of Data Science and Machine Learning

Levin — Sat, 20 Aug 2022 05:28:00 +0000

Hello, everyone.

Following are first 2 weeks of this series. You can find them on my github repository. You can run all the notebook on colab or jupyter as well.

Day 1 - Python Basics Part1

Topic : Data Types, Strings, Operators, Chaining Comparison Operators with Logical Operators
Day 2 - Python Basics Part2

Topic : Python Lists and Dictionaries, Sets, Tuples and etc
Day 3 - Python Basics Part3

Topic : Loop, Break and Continue Statement, Object-Oriented Programming and Class
Day 4 - Intermediate Python Part1

Topic : First Class Function, Private variables, Global and Non Local variables, Magic Function, Tuple Unpacking, Static Variables and Method
Day 5 - Intermediate Python Part2

Topic : Lambda function, Matic methods, Inheritance and Polymorphism, Erros and Exception Handling, User-defined function, Python garbage collection, and debugger
Day 6 - Advanced Python

Topic : Decorators, Memoization using Decorators, Generators, Ordered and Defaultdict, Coroutine
Day 7 - Statistics for Data Science and Machine Learning

Topic : Statistics for Data Science
Day 8 - Maths for Data Science and Machine Learning

Topic : Linear Algebra, Calculus, Matrix and Vectors, Bayes Theorem and Cheatsheets
Day 9 - Pandas Part1

Topic : Pandas Series, DataFrame
Day 10 - Pandas Part2

Topic : Indexing, Filtering, Transformation, Merging, Hierarchial Indexing
Day 11 - Numpy

Topic : Flattening, Concatenation and Broadcasting
Day 12 - Data PreProcessing Part1

Topic : Encoding categorical data, Split data, Feature Scaling
Day 13 - Data PreProcessing Part2

Topic : Data Cleaning, Data Augmentation, Transformatoin, Channel Shift
Day 14 - Regression Part1

Topic : Simple Linear Regression, Multi Linear Regression, Polynomial Regression

Hope my work would be little bit helpful for AI enthusiastic.
If that, please star that repository then follow me on Github and Dev.to

https://dev.to/levintech
https://github.com/levintech
Best Regards.

60 Days of Data Science and Machine Learning

Levin — Wed, 17 Aug 2022 18:58:39 +0000

Dear, everyone. Hope you are doing well.
After I finished all the Kaggle courses, I found next materials to expend my knowledge for Data Science and Machine Learning. I choose this series from Medium which is Naina Chaturvedi.

I had already finished first 2 weeks from this series. You can find them on my github repository. You can run all the notebook on colab or jupyter as well.

https://github.com/levintech/60-Days-of-Data-Science-and-ML

Hope my work would be little bit helpful for AI enthusiastic.
If that, please star that repository then follow me on Github and Dev.to

https://dev.to/levintech
https://github.com/levintech

Best Regards

Completed all the Kaggle courses.

Levin — Mon, 01 Aug 2022 04:23:58 +0000

Hi, everyone. Hope you are doing well.
About 2 months ago, I started enrolled the first Kaggle course - "Intro to Programming". After that, I have been keep learning on Kaggle courses and completed all the Kaggle course by today. You can find my work on my Github profile.

https://github.com/levintech/kaggle-courses

I will continue my work and push my all works on my Github.
To encourage me to keep momentum on Data Science career, hope you follow me and "star" my repository on Github and Kaggle.
Best Regards

Earned 10 Certifications on Kaggle.

Levin — Mon, 18 Jul 2022 17:35:35 +0000

Dear, Everyone. Thank you being with my AI journey.

In these days, I have been keep learning from Kaggle courses. By today, I completed 10 tutorials on Kaggle and earns 10 certifications.

Intro to Programming
Python
Intro to Machine Learning
Pandas
Intermediate to Machine Learning
Data Visualization
Feature Engineering
SQL
Advanced SQL
Intro to Deep Learning

You can find all my work on my Github repository. If this repo is helpful for you, you can star that one.
https://github.com/levintech/kaggle-courses

Thanks for reading my first post carefully.
To encourage me continue work, please follow me on Dev.to and Github.

https://dev.to/levintech
https://github.com/levintech

Best Regards.