You will get an Engaging Tableau Dashboard for Data Visualization

Iqra A.Status: Offline
Iqra A. Iqra A.

Let a pro handle the details

Buy Machine Learning services from Iqra, priced and ready to go.
Iqra A.Status: Offline
Iqra A. Iqra A.

Let a pro handle the details

Buy Machine Learning services from Iqra, priced and ready to go.

Project details

Netflix Data Insights Dashboard

This dashboard presents a comprehensive analysis of Netflix's vast content library, enabling stakeholders to make data-driven decisions effortlessly.

Global Reach: A world map showcases Netflix content distribution across countries, highlighting its international footprint.
Content Overview: Clear breakdown between movies and TV shows (6,131 movies, 2,676 TV shows) displayed through engaging visuals.
Top Genres: Bar charts spotlight popular genres like Comedies, Dramas, and Documentaries, assisting in audience preference analysis.
Ratings Insights: Distribution of content ratings (e.g., TV-MA, PG-13) helps evaluate content classification trends.
Historical Trends: Time-based analysis tracks the growth of Netflix’s content over the years, segmented by movies and TV shows.
With its polished design and actionable insights, this dashboard is perfect for content strategists, marketing teams, and data enthusiasts looking to explore Netflix's offerings.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, Deeplearning4j, GPT-3, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, Tableau, TensorFlow, Weka
What's included
Service Tiers Starter
$50
Standard
$100
Advanced
$150
Delivery Time 3 days 5 days 7 days
Number of Revisions
123
Number of Model Variations
123
Number of Scenarios
123
Number of Graphs/Charts
35
Model Validation/Testing
-
Model Documentation
Data Source Connectivity
-
Source Code
-
-
Iqra A.Status: Offline
Iqra A.Status: Offline
AI Engineer | Object Detection | Chatbot | Data Scientist | NLP
Gilgit, Pakistan - 1:19 pm local time
Are you looking to unlock the full potential of your data with AI-powered solutions? I’m an AI engineer with extensive experience in deep learning, computer vision, and natural language processing (NLP). I specialize in transforming complex challenges into actionable insights and delivering high-performance, scalable AI models that drive results.

Here’s what I bring to the table:

🚀 AI & Machine Learning Solutions:

Deep expertise in supervised, unsupervised, and semi-supervised learning.
Proficient in Python, NumPy, Pandas, and sci-kit-learn to turn raw data into valuable insights.
Advanced SQL skills for efficient data querying and processing.
đź’ˇ Deep Learning & Neural Networks:

Designing cutting-edge models like ANNs, CNNs, and RNNs for various use cases, including predictive analytics, classification, and time-series forecasting.
Mastering LSTM networks for sequence-based data problems.
🎯 Computer Vision Expertise:

Object detection using YOLO and image classification for a range of industries, from healthcare to retail.
Powerful feature extraction and model optimization techniques to ensure accuracy and performance.
đź§  Natural Language Processing (NLP):

Building large language models (LLMs) for sentiment analysis, language understanding, and text generation, helping businesses extract insights from unstructured text.
📊 Data Visualization & Storytelling:

Turning data into compelling narratives using Matplotlib, Seaborn, and customized storytelling approaches to make your data insights easily digestible and actionable.
I deliver results-driven AI models that improve decision-making, automate processes, and enhance user experiences. Whether you need AI solutions for your product, business analytics, or industry-specific needs, I’m here to help you succeed.

Let’s connect and bring your project to life with AI!

Steps for completing your project

After purchasing the project, send requirements so Iqra can start the project.

Delivery time starts when Iqra receives requirements from you.

Iqra works on your project following the steps below.

Revisions may occur after the delivery date.

Step 1: Understanding Requirements

Meet with the client to clarify goals, expectations, and desired outcomes. Gather necessary datasets, including metadata, content details, and geographic information.

Step 2: Data Collection & Preparation

Collect the Netflix dataset in formats like CSV or Excel. Clean and preprocess the data to handle missing values, duplicates, and inconsistencies. Create structured tables and establish relationships between data points.

Review the work, release payment, and leave feedback to Iqra.