You will get Image Classification and Clustering machine learning , ml python.
Project details
Unlock the potential of your projects with an expert in Data Science and Machine Learning, boasting over 10 years of hands-on Python experience and certified credentials from Deeplearning.ai. I bring a wealth of knowledge and a proven track record in delivering innovative solutions.
Why Choose Me?
Certified Expertise: With certifications in Data Science and Machine/Deep Learning, I offer a solid foundation in Python programming and advanced analytics.
Algorithm Mastery: Skilled in machine learning and deep learning frameworks like TensorFlow and Keras, I excel in implementing complex algorithms and models.
Commitment to Excellence: I prioritize delivering thoroughly documented, high-quality work within defined timelines.
My Services:
Machine Learning:
Supervised/Unsupervised Learning
Classification: Image, Multi-label, Multi-class
Regression: Linear, Logistic, Multiple Linear
Clustering: K Means, KNN
Dimensionality Reduction
Stochastic Gradient Descent
Decision Tree, Random Forest, XGBoost
Contact me before placing an order to ensure tailored solutions for your unique needs.
Why Choose Me?
Certified Expertise: With certifications in Data Science and Machine/Deep Learning, I offer a solid foundation in Python programming and advanced analytics.
Algorithm Mastery: Skilled in machine learning and deep learning frameworks like TensorFlow and Keras, I excel in implementing complex algorithms and models.
Commitment to Excellence: I prioritize delivering thoroughly documented, high-quality work within defined timelines.
My Services:
Machine Learning:
Supervised/Unsupervised Learning
Classification: Image, Multi-label, Multi-class
Regression: Linear, Logistic, Multiple Linear
Clustering: K Means, KNN
Dimensionality Reduction
Stochastic Gradient Descent
Decision Tree, Random Forest, XGBoost
Contact me before placing an order to ensure tailored solutions for your unique needs.
Machine Learning Tools
ChatGPTWhat's included
| Service Tiers |
Starter
$100
|
Standard
$180
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 5 | 7 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - | - |
About Ammara
Machine Learning | Deep Learning | Python | NLP | Data Scientist & AI
Multan, Pakistan - 5:09 am local time
My Skills:
☆ Python: Pandas, Numpy, Scikit-Learn, Tensorflow, Keras, OpenCV, Matplotlib, Seaborn ...
☆ Big Data : Pyspark, Hive, Scala
☆ Machine Learning: Random Forest, Xgboost, LightGBM, Catboost, LR, Kmeans ...
☆ Deep Learning: ARIMA, RNN, LSTM, Wide&Deep, DIN, YOLO
☆ Data Analysis
☆ Power BI
☆ SQL
☆ Linux Shell
☆ Git
I often process more than 100 million big data with Python and Spark, so I am good at optimizing codes and data processing methods when meet the problems of time limit and memory resources limit.
I am good at analyzing and discovering data regularities to improving algorithm evaluation results such as RMSE, MSE, Accuracy, Precision, Recall, AUC, F1 Score, etc.
I build features and models for Recommendation system to improve the CTR and get top N recommended products for users.
Time Series Forecasting with LSTM/RNN to predict the next N values.
Video/Images detection by Yolo.
Some of my projects experience:
● Analyzed users and products history data, based on Wide&Deep model to built financial product recommendation system for a bank, which leading to 5% increase on user’s clicking rate and 7% increase on product trades in a month.
● Predict the price of products, according to different cities price and products features, 72% different produces’ price are in the right range, which as a reasonable reference for company.
● Based on LightGBM, built nearby products recommender system which helped users choose the preference products, rose up 3% amounts of orders.
● Processed time series data, and based on LSTM model for time series predict, which can predict the future values.
● Spark tasks about RDD, UDF, DataFrame, Map, MapPartitions, etc.
Steps for completing your project
After purchasing the project, send requirements so Ammara can start the project.
Delivery time starts when Ammara receives requirements from you.
Ammara works on your project following the steps below.
Revisions may occur after the delivery date.
after completing the project i delivered through Upwork platefrom.