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$22 USD / hour
Flag of EGYPT
bani sweif, egypt
$22 USD / hour
It's currently 11:07 AM here
Joined March 5, 2021
0 Recommendations

Mohamed S.

@mohamedsamir3

monthly-level-two.svg
4.9 (16 reviews)
2.7
2.7
$22 USD / hour
Flag of EGYPT
bani sweif, egypt
$22 USD / hour
75%
Jobs Completed
65%
On Budget
66%
On Time
5%
Repeat Hire Rate

Data science for society and business

Hello everybody! I will data science and machine learning projects using python I thrive in machine learning and data science environments through team collaboration and take any opportunity to learn from others and prove my own expertise. I am a self-motivated problem solver and hope to find useful work in a field that constantly challenges me. I have so many challenges in developing my skills … My Skill list for the projects is... Main Programming Skills - Python - NumPy, Pandas - Matplotlib, Seaborn, Plotly - Scikit-learn, Keras, TensorFlow - Imblearn, JSON - Flask, Streamlit, Tkinter Machine Learning - Naïve Bayes - Decision Tree - Logistic Regression - Support Vector Machine - K-nearest Neighbour (KNN) - Linear Regression, Ridge, Lasso - Random Forest, Adaboost, Xgboost, Gradient Boost, Bagging To provide you with quality work, we analyze the problem in depth. So, please share all the details of the work. And if you desire, I will provide explanation lectures to help you understand the work Regards Mohamed Samir
Freelancer Python Developers Egypt

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Portfolio Items

Mountain Car, a standard testing domain in Reinforcement Learning, is a problem in which an under-powered car must drive up a steep hill. Since gravity is stronger than the car's engine, even at full throttle, the car cannot simply accelerate up the steep slope
Mountain Car
Mountain Car, a standard testing domain in Reinforcement Learning, is a problem in which an under-powered car must drive up a steep hill. Since gravity is stronger than the car's engine, even at full throttle, the car cannot simply accelerate up the steep slope
Mountain Car
The gym is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball
Open AI Gym
Linear Regression is a machine learning algorithm that is used to establish the linear relationship between dependent and one or more independent variables. This technique is applicable for supervised learning regression problems where we try to predict a continuous variable. Linear Regression can be further classified into two types – Simple and Multiple Linear Regression.

In this project, I employ the Multiple Linear Regression technique where I have one dependent variable and more than one independent variables.
Multiple Linear Regression M L
Linear Regression is a statistical technique which is used to find the linear relationship between dependent and one or more independent variables. This technique is applicable for Supervised learning Regression problems where we try to predict a continuous variable.
Linear Regression can be further classified into two types – Simple and Multiple Linear Regression. In this project, I employ Simple Linear Regression technique where I have one independent and one dependent variable. It is the simplest form of Linear Regression where we fit a straight line to the data.
Linear Regression M L
NumPy is a Python package that stands for 'Numerical Python. It is a library consisting of
multidimensional array objects and a collection of routines for processing of array.
Pandas is an open-source Python Library used for high-performance data manipulation
and data analysis using its powerful data structures.
Exploratory Data Analysis (EDA)
NumPy is a Python package that stands for 'Numerical Python. It is a library consisting of
multidimensional array objects and a collection of routines for processing of array.
Pandas is an open-source Python Library used for high-performance data manipulation
and data analysis using its powerful data structures.
Exploratory Data Analysis (EDA)
Data gathering methods are often loosely controlled, resulting in out of range values, useless
features, outliers, missing values, etc.
Garbage data produce misleading results. Thus, data preprocessing is the most important phase of a
machine-learning project.
Data Preprocessing and ETL
Data gathering methods are often loosely controlled, resulting in out of range values, useless
features, outliers, missing values, etc.
Garbage data produce misleading results. Thus, data preprocessing is the most important phase of a
machine-learning project.
Data Preprocessing and ETL

Reviews

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$20.00 USD
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Python Web Scraping
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Flag of Joao R. @jhonysbh
4 months ago
5.0
$50.00 USD
Professional work received in a short time. Highly recommend.
Python Data Processing Machine Learning (ML) Data Analytics
M
Flag of Mohammed M. @mo3x
10 months ago
5.0
$10.00 USD
Good & humble person Completed my work on time. Really apreciate him
Technical Writing Report Writing Business Plans Research Writing Business Analysis
B
Flag of Bilal S. @boss7354
11 months ago
5.0
$25.00 USD
Great work finished and sent very quickly. Very. responsive and professional!
Java Python Algorithm Statistics Machine Learning (ML)
+1 more
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Flag of Brian B. @bop0
1 year ago
5.0
$0.10 AUD
he is the best freelancer here Highly recommended
Java Python Algorithm Statistics
+1 more
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Flag of Taha H. @taha7emdaan
1 year ago

Experience

Machine Learning Inter

Epsilon Ai
Dec 2020 - Apr 2021 (4 months, 1 day)
_ Inter inbuilt expertise in data manipulation _ visualization, predictive analytics, machine learning, and Data Science _ Make Some Projects

Competitor

Huawei
Sep 2019 - Apr 2020 (7 months, 1 day)
- Huawei ICT Competition 2019-2020 Global final

Internship

Information Technology Institute (ITI)
Sep 2019 - Dec 2019 (3 months, 2 days)
- Traning in Python Programming Language and How to Use python In Machine learning, Data Science, and data analysis

Education

BS Computer Science

Nile University, Egypt 2018 - 2022
(4 years)

Qualifications

Ask Questions to Make Data-Driven Decisions

Google
2021
- Ask Questions to Make Data-Driven Decisions - An online non-credit course authorized by Google and offered through Coursera

Certified Data Science Professional

Epsilon Ai
2020
- Completed all 10 required courses in DS(120 hours). - Mastered 10 crucial data science skills.

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Certifications

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Top Skills

Python 6 Machine Learning (ML) 5 Statistics 4 Algorithm 3 Data Science 1

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