diff --git a/website b/website new file mode 100644 index 0000000000..8b13789179 --- /dev/null +++ b/website @@ -0,0 +1 @@ + diff --git a/website ML-CaPsule/README.md b/website ML-CaPsule/README.md new file mode 100644 index 0000000000..e7963ac999 --- /dev/null +++ b/website ML-CaPsule/README.md @@ -0,0 +1,2 @@ +# ML-CaPsule-website +building full stack website for ML-CaPsule diff --git a/website ML-CaPsule/ai.jpeg b/website ML-CaPsule/ai.jpeg new file mode 100644 index 0000000000..dee682fe3f Binary files /dev/null and b/website ML-CaPsule/ai.jpeg differ diff --git a/website ML-CaPsule/contribution.html b/website ML-CaPsule/contribution.html new file mode 100644 index 0000000000..79a80e6ec4 --- /dev/null +++ b/website ML-CaPsule/contribution.html @@ -0,0 +1,112 @@ + + + + + + + + +
+
+ + Logo + + + ML-CaPsule + + + +
+
+ + + +
+
+
+
+
+ PR + +
+
+

How to make a Pull Request

+

Give a clear description what modifications you have made.

+ Learn More + + + + + +
+
+
+
+ Readme File + +
+
+

Readme file Template

+

Goals,Libraries needed, Accuracy

+ Learn More + + + + + +
+
+
+
+ Issue + +
+
+

How to raise issue

+

Bug, Feature, Documentation

+ Learn More + + + + + +
+
+
+
+
+ + + +
+ + +
+ + + + + diff --git a/website ML-CaPsule/data anal.jpeg b/website ML-CaPsule/data anal.jpeg new file mode 100644 index 0000000000..953faad9c1 Binary files /dev/null and b/website ML-CaPsule/data anal.jpeg differ diff --git a/website ML-CaPsule/data sci.jpeg b/website ML-CaPsule/data sci.jpeg new file mode 100644 index 0000000000..e5e27f5ab2 Binary files /dev/null and b/website ML-CaPsule/data sci.jpeg differ diff --git a/website ML-CaPsule/deep l.jpeg b/website ML-CaPsule/deep l.jpeg new file mode 100644 index 0000000000..1a8252e78f Binary files /dev/null and b/website ML-CaPsule/deep l.jpeg differ diff --git a/website ML-CaPsule/github-api.ipynb b/website ML-CaPsule/github-api.ipynb new file mode 100644 index 0000000000..ff348494c7 --- /dev/null +++ b/website ML-CaPsule/github-api.ipynb @@ -0,0 +1,158 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "REPOSITORY_INDEX.md file has been created.\n" + ] + } + ], + "source": [ + "import os\n", + "from github import Github\n", + "from markdown2 import markdown\n", + "\n", + "# Replace with your GitHub access token\n", + "GITHUB_ACCESS_TOKEN = 'your token'\n", + "# Replace with your GitHub username and repository name\n", + "REPO_NAME = 'username/reponame'\n", + "\n", + "# Authenticate to GitHub\n", + "g = Github(GITHUB_ACCESS_TOKEN)\n", + "repo = g.get_repo(REPO_NAME)\n", + "\n", + "def get_folders(repo):\n", + " contents = repo.get_contents(\"\")\n", + " folders = [content for content in contents if content.type == 'dir']\n", + " return folders\n", + "\n", + "def get_readme(repo, folder):\n", + " try:\n", + " readme_file = repo.get_contents(os.path.join(folder.path, \"README.md\"))\n", + " return readme_file.decoded_content.decode()\n", + " except:\n", + " return None\n", + "\n", + "def generate_markdown(folders, repo_name):\n", + " markdown_content = \"# Repository Index\\n\\n\"\n", + " for folder in folders:\n", + " readme_content = get_readme(repo, folder)\n", + " if readme_content:\n", + " description = markdown(readme_content).strip().split('\\n')[0]\n", + " else:\n", + " description = \"No description available.\"\n", + "\n", + " folder_link = f\"https://github.com/ML-CaPsule/tree/main/{folder.path}\"\n", + " markdown_content += f\"## [{folder.name}]({folder_link})\\n\\n{description}\\n\\n\"\n", + " return markdown_content\n", + "\n", + "def save_to_file(content, filename=\"REPOSITORY_INDEX_new.md\"):\n", + " with open(filename, \"w\") as file:\n", + " file.write(content)\n", + "\n", + "def main():\n", + " folders = get_folders(repo)\n", + " markdown_content = generate_markdown(folders, REPO_NAME)\n", + " save_to_file(markdown_content)\n", + " print(\"REPOSITORY_INDEX.md file has been created.\")\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "projects.html file has been created with correct links.\n" + ] + } + ], + "source": [ + "import re\n", + "\n", + "def extract_projects_from_markdown(markdown_file, old_base_url, new_base_url):\n", + " with open(markdown_file, 'r') as file:\n", + " content = file.read()\n", + "\n", + " # Replace old base URL with new base URL\n", + " content = content.replace(old_base_url, new_base_url)\n", + "\n", + " # Use regex to find all project names and links\n", + " projects = re.findall(r'## \\[(.+?)\\]\\((https://github\\.com/.+?)\\)', content)\n", + " return projects\n", + "\n", + "def generate_html(projects):\n", + " html_content = \"\"\n", + " template = '''\n", + "
\n", + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " {project_name}\n", + "
\n", + "
\n", + "
\n", + "\n", + " '''\n", + "\n", + " for project_name, project_link in projects:\n", + " html_content += template.format(project_name=project_name, project_link=project_link)\n", + "\n", + " return html_content\n", + "\n", + "def save_to_file(content, filename=\"projects.html\"):\n", + " with open(filename, \"w\") as file:\n", + " file.write(content)\n", + "\n", + "def main():\n", + " markdown_file = \"REPOSITORY_INDEX.md\"\n", + " old_base_url = \"https://github.com/ML-CaPsule/tree/main/\"\n", + " new_base_url = \"https://github.com/Niketkumardheeryan/ML-CaPsule/tree/master/\"\n", + " \n", + " projects = extract_projects_from_markdown(markdown_file, old_base_url, new_base_url)\n", + " html_content = generate_html(projects)\n", + " save_to_file(html_content)\n", + " print(\"projects.html file has been created with correct links.\")\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/website ML-CaPsule/home.html b/website ML-CaPsule/home.html new file mode 100644 index 0000000000..0349337d5e --- /dev/null +++ b/website ML-CaPsule/home.html @@ -0,0 +1,139 @@ + + + + + + + + + + + + +
+
+ + Logo + + + ML-CaPsule + + + +
+
+ + +
+
+
+ hero +
+
+

Machine Learning + +

+

Machine learning involves creating algorithms and statistical models that enable computer systems to progressively improve their performance on a specific task without being explicitly programmed. It focuses on developing techniques that allow computers to learn from and make decisions or predictions based on data. Applications range from spam filtering and recommendation systems to image and speech recognition, healthcare diagnostics, and autonomous vehicles.

+
+
+
+
+
+ +
+
+
+ hero +
+
+

Artificial Intelligence + +

+

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and mimic human actions. It encompasses a broad range of techniques, including machine learning and deep learning, to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, solving problems, and making decisions. AI is revolutionizing industries like healthcare, finance, transportation, and customer service, with applications in robotics, virtual assistants, automated trading systems, and more.

+
+
+
+
+
+ +
+
+
+ hero +
+
+

Deep Learning + +

+

Deep learning is a subset of machine learning that uses neural networks with multiple layers to learn representations of data. It is inspired by the structure and function of the human brain, where each layer of neurons processes different aspects of the input to progressively extract higher-level features. Deep learning has achieved remarkable success in tasks such as image and speech recognition, natural language processing, and autonomous driving. Its ability to automatically learn hierarchical representations from large amounts of data makes it a powerful tool in advancing AI research and applications.

+
+
+
+
+
+ +
+
+
+ hero +
+
+

Data Analysis + +

+

Data analysis involves inspecting, cleansing, transforming, and modeling data to uncover useful information, conclusions, and support decision-making. It encompasses various techniques, such as statistical analysis, machine learning, and data visualization, to interpret data and derive insights. Data analysis plays a crucial role in fields like business intelligence, scientific research, healthcare, finance, and marketing. By examining patterns and trends in data, analysts can identify opportunities, detect anomalies, predict outcomes, and optimize processes to drive organizational success and innovation.

+
+
+
+
+
+ +
+
+
+ hero +
+
+

Data Science + +

+

Data science integrates domain expertise, programming skills, and statistical knowledge to extract meaningful insights and knowledge from structured and unstructured data. It encompasses a range of disciplines, including machine learning, data analysis, data engineering, and domain-specific expertise, to solve complex problems and inform decision-making. Data scientists employ techniques such as data mining, predictive modeling, and big data analytics to uncover patterns, trends, and correlations that provide valuable insights for businesses and organizations. They play a crucial role in transforming raw data into actionable insights and driving data-driven strategies across various industries.

+
+
+
+
+
+ + + + + + + + + + + diff --git a/website ML-CaPsule/index.html b/website ML-CaPsule/index.html new file mode 100644 index 0000000000..36eb39e636 --- /dev/null +++ b/website ML-CaPsule/index.html @@ -0,0 +1,92 @@ + + + + + + + + + + + + +
+
+ + Logo + + + ML-CaPsule + + + +
+
+ + +
+
+
+
+ content +
+
+
+
+ + + + +
+
+

MLCaPsule

+
+ +
+
+
+

Machine learning technique to analysis data that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Importance of Machine Learning Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies.

+ Learn More + + + + +
+
+
+
+
+ + + + + + + + + + + diff --git a/website ML-CaPsule/indexnewnew.jpg b/website ML-CaPsule/indexnewnew.jpg new file mode 100644 index 0000000000..3804149c6c Binary files /dev/null and b/website ML-CaPsule/indexnewnew.jpg differ diff --git a/website ML-CaPsule/login.html b/website ML-CaPsule/login.html new file mode 100644 index 0000000000..8b1bb05d6d --- /dev/null +++ b/website ML-CaPsule/login.html @@ -0,0 +1,93 @@ + + + + + + + + + + + + +
+
+ + Logo + + + ML-CaPsule + + + +
+
+ + +
+
+
+
+ content +
+
+
+
+ + + + +
+
+

MLCaPsule

+
+ +
+
+
+

Machine learning technique to analysis data that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Importance of Machine Learning Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies.

+ Learn More + + + + +
+
+
+
+
+ + + + + + + + + + + + diff --git a/website ML-CaPsule/logo.png b/website ML-CaPsule/logo.png new file mode 100644 index 0000000000..a56e45e69e Binary files /dev/null and b/website ML-CaPsule/logo.png differ diff --git a/website ML-CaPsule/ml.jpeg b/website ML-CaPsule/ml.jpeg new file mode 100644 index 0000000000..86fd6c50d4 Binary files /dev/null and b/website ML-CaPsule/ml.jpeg differ diff --git a/website ML-CaPsule/readme.md b/website ML-CaPsule/readme.md new file mode 100644 index 0000000000..d698a5c796 --- /dev/null +++ b/website ML-CaPsule/readme.md @@ -0,0 +1 @@ +Welcome to the website code of ML-CaPsule diff --git a/website ML-CaPsule/webprojects.html b/website ML-CaPsule/webprojects.html new file mode 100644 index 0000000000..7d153b61c7 --- /dev/null +++ b/website ML-CaPsule/webprojects.html @@ -0,0 +1,1972 @@ + + + + + + + + + +
+
+ + Logo + + + ML-CaPsule + + + +
+
+ +
+
+
+

Machine Learning Projects

+

Largest library for machine learning projects

+ +
+
+
+ + + + + Advanced Visualizations +
+
+
+ + +
+
+
+ + + + + Alzheimer's Disease Predictor +
+
+
+ + +
+
+
+ + + + + Analysis_&_predict_Black_friday_sale +
+
+
+ + +
+
+
+ + + + + Association Rule Implementation +
+
+
+ + +
+
+
+ + + + + Audio Classification +
+
+
+ + +
+
+
+ + + + + Autism Identification System +
+
+
+ + +
+
+
+ + + + + Automatic Summarization of Scientific Papers +
+
+
+ + +
+
+
+ + + + + Basics of ML and DL +
+
+
+ + +
+
+
+ + + + + Basics of Power Bi +
+
+
+ + +
+
+
+ + + + + Basics of the Python +
+
+
+ + +
+
+
+ + + + + Bidirectional LSTM +
+
+
+ + +
+
+
+ + + + + Bird Species Classification Web App +
+
+
+ + +
+
+
+ + + + + Bitcoin Price Prediction Web App +
+
+
+ + +
+
+
+ + + + + Bitcoin Price Predictor +
+
+
+ + +
+
+
+ + + + + Brain Tumor Detection +
+
+
+ + +
+
+
+ + + + + Breast Cancer Detection using DL with Webapp +
+
+
+ + +
+
+
+ + + + + CBT_ChatBot +
+
+
+ + +
+
+
+ + + + + COVID_19-DATA-ANALYSIS +
+
+
+ + +
+
+
+ + + + + Chatbot Using RASA +
+
+
+ + +
+
+
+ + + + + Cheat Sheets +
+
+
+ + +
+
+
+ + + + + Chicken_Disease_Classification +
+
+
+ + +
+
+
+ + + + + Class Imbalance problem +
+
+
+ + +
+
+
+ + + + + Classification Algorithms +
+
+
+ + +
+
+
+ + + + + Cloud Details +
+
+
+ + +
+
+
+ + + + + Clustering Algorithms +
+
+
+ + +
+
+
+ + + + + Covid19 forecasting with prophet +
+
+
+ + +
+
+
+ + + + + Covid_Third_Wave_Forecasting +
+
+
+ + +
+
+
+ + + + + CrowdAI Plant Disease +
+
+
+ + +
+
+
+ + + + + Customer Segmentation using Machine Learning +
+
+
+ + +
+
+
+ + + + + Dark Pattern Detection +
+
+
+ + +
+
+
+ + + + + Data Cleaning Techniques +
+
+
+ + +
+
+
+ + + + + Data Filling and Cleaning Techniques +
+
+
+ + +
+
+
+ + + + + Deepfake_image_analyzer +
+
+
+ + +
+
+
+ + + + + Defective Captcha Image Recognition +
+
+
+ + +
+
+
+ + + + + Different types of Clustering +
+
+
+ + +
+
+
+ + + + + Different types of feature selection techniques +
+
+
+ + +
+
+
+ + + + + Different_types_of_scaling_Method +
+
+
+ + +
+
+
+ + + + + Diseases_Prediction +
+
+
+ + +
+
+
+ + + + + Driver_Drowsiness_Detection +
+
+
+ + +
+
+
+ + + + + Duplicate_Question_pair +
+
+
+ + +
+
+
+ + + + + EDA-and-Perform-Modelling-on-Ionosphere-Dataset-main +
+
+
+ + +
+
+
+ + + + + Email Classifier +
+
+
+ + +
+
+
+ + + + + Emotion Recognition Based on NLP +
+
+
+ + +
+
+
+ + + + + Ensemble Methds in ML +
+
+
+ + +
+
+
+ + + + + Explaination and Example for P value with code +
+
+
+ + +
+
+
+ + + + + Exploratory-data-analysis +
+
+
+ + +
+
+
+ + + + + Extract_Text_from_PDF_using_Python +
+
+
+ + +
+
+
+ + + + + Fake_News_Detection +
+
+
+ + +
+
+
+ + + + + Feature Scaling Techniques +
+
+
+ + +
+
+
+ + + + + Feature-Engineering +
+
+
+ + +
+
+
+ + + + + File of SQL Commands +
+
+
+ + +
+
+
+ + + + + Fire-Detection-Using-Python-OpenCV +
+
+
+ + +
+
+
+ + + + + Fish-Weight-Estimation +
+
+
+ + +
+
+
+ + + + + Flight_delay_prediction_project +
+
+
+ + +
+
+
+ + + + + Flower_classification_android_app +
+
+
+ + +
+
+
+ + + + + Football_Analyser_using_YOLO +
+
+
+ + +
+
+
+ + + + + GDP Prediction +
+
+
+ + +
+
+
+ + + + + GUI-JARVIS +
+
+
+ + +
+
+
+ + + + + Gender Pay Gap Analysis +
+
+
+ + +
+
+
+ + + + + Gesture Control Mouse +
+
+
+ + +
+
+
+ + + + + GitHub Topic Scraper +
+
+
+ + +
+
+
+ + + + + Google Teachable Machine +
+
+
+ + +
+
+
+ + + + + Hand-Written-Digit-Recognition +
+
+
+ + +
+
+
+ + + + + Handwritten Equation Solver using CNN +
+
+
+ + +
+
+
+ + + + + Handwritten character recognition +
+
+
+ + +
+
+
+ + + + + Heart_Predection +
+
+
+ + +
+
+
+ + + + + Hindi_Letter_Classification +
+
+
+ + +
+
+
+ + + + + Housing_Prediction +
+
+
+ + +
+
+
+ + + + + HyperParameter Tuning +
+
+
+ + +
+
+
+ + + + + IMDB Box Office Prediction +
+
+
+ + +
+
+
+ + + + + Image Captioning +
+
+
+ + +
+
+
+ + + + + Instagram Reach Prediction +
+
+
+ + +
+
+
+ + + + + K Means Clustering +
+
+
+ + +
+
+
+ + + + + LSTM from Scratch +
+
+
+ + +
+
+
+ + + + + LanguageDetection +
+
+
+ + +
+
+
+ + + + + Loan-Prediction-main +
+
+
+ + +
+
+
+ + + + + MNIST English Classification +
+
+
+ + +
+
+
+ + + + + Malicious Url Detection +
+
+
+ + +
+
+
+ + + + + Medical Charges for Smokers and Non-smoker +
+
+
+ + +
+
+
+ + + + + Medical_Help_Chatbot +
+
+
+ + +
+
+
+ + + + + Meteorite Landing Data Analysis +
+
+
+ + +
+
+
+ + + + + Movie Genre Classification +
+
+
+ + +
+
+
+ + + + + Movie-Recommendation-System +
+
+
+ + +
+
+
+ + + + + Movie-Recommender-System using python +
+
+
+ + +
+
+
+ + + + + NLTK Documentation +
+
+
+ + +
+
+
+ + + + + Naive Bayes Documentation +
+
+
+ + +
+
+
+ + + + + Nasa-Asteroids-Dataset-Analysis +
+
+
+ + +
+
+
+ + + + + NumPy - Basics +
+
+
+ + +
+
+
+ + + + + Number_of_people_counter +
+
+
+ + +
+
+
+ + + + + OCR-Medicine-Reader +
+
+
+ + +
+
+
+ + + + + Object Detection +
+
+
+ + +
+
+
+ + + + + Ola Bike Ride Request Demand Forecast +
+
+
+ + +
+
+
+ + + + + OnlinePaymentFraudDetection +
+
+
+ + +
+
+
+ + + + + Optical character recognition (OCR) +
+
+
+ + +
+
+
+ + + + + Pandas-Basics +
+
+
+ + +
+
+
+ + + + + Plant Disease Prediction +
+
+
+ + +
+
+
+ + + + + Plant Seedlings Classification +
+
+
+ + +
+
+
+ + + + + PulseLangX +
+
+
+ + +
+
+
+ + + + + PyPI Package +
+
+
+ + +
+
+
+ + + + + PyScript Tutorial +
+
+
+ + +
+
+
+ + + + + QnA Conversational Agent +
+
+
+ + +
+
+
+ + + + + R language +
+
+
+ + +
+
+
+ + + + + Random Oversampler +
+
+
+ + +
+
+
+ + + + + Random forest from scratch +
+
+
+ + +
+
+
+ + + + + Random forest test +
+
+
+ + +
+
+
+ + + + + Rating_Prediction +
+
+
+ + +
+
+
+ + + + + Recognition_of_gestures_and_action +
+
+
+ + +
+
+
+ + + + + Road accident Analysis using Power BI +
+
+
+ + +
+
+
+ + + + + Rock Paper Scissors Python Game +
+
+
+ + +
+
+
+ + + + + Sentiment analysis for depression based on social media posts +
+
+
+ + +
+
+
+ + + + + Sentiment-Analysis-on-IMDb-reviews +
+
+
+ + +
+
+
+ + + + + Sentiment-Analysis +
+
+
+ + +
+
+
+ + + + + Sign-Language-Translator +
+
+
+ + +
+
+
+ + + + + Skin Disease Predictor +
+
+
+ + +
+
+
+ + + + + Social Media Fake Accounts Detection with Interactive UI +
+
+
+ + +
+
+
+ + + + + SongGenreClassifier +
+
+
+ + +
+
+
+ + + + + Spam Mail Detection +
+
+
+ + +
+
+
+ + + + + Speech_Emotion_Recognition +
+
+
+ + +
+
+
+ + + + + Spelling Corrector +
+
+
+ + +
+
+
+ + + + + Sports Analytics Project +
+
+
+ + +
+
+
+ + + + + Sports Image Classification +
+
+
+ + +
+
+
+ + + + + Startup_Profit_Prediction +
+
+
+ + +
+
+
+ + + + + Stock Price Analysis +
+
+
+ + +
+
+
+ + + + + Sudoku Solver using CNN +
+
+
+ + +
+
+
+ + + + + Tensorflow.js Demo +
+
+
+ + +
+
+
+ + + + + Text Summarization Model +
+
+
+ + +
+
+
+ + + + + Time Series Forecasting with Python +
+
+
+ + +
+
+
+ + + + + Time-Series LSTM Model +
+
+
+ + +
+
+
+ + + + + Traffic Sign Recognition +
+
+
+ + +
+
+
+ + + + + Transfer Learning +
+
+
+ + +
+
+
+ + + + + Tweets Classification +
+
+
+ + +
+
+
+ + + + + Unique Chatbot +
+
+
+ + +
+
+
+ + + + + Various Plots using Matplot,Seaborn,Pandas +
+
+
+ + +
+
+
+ + + + + Vehicles and Pedestrian Detection +
+
+
+ + +
+
+
+ + + + + Weather Prediction +
+
+
+ + +
+
+
+ + + + + Web-Scraping-with-Beautiful-Soup-master +
+
+
+ + +
+
+
+ + + + + Website Classification +
+
+
+ + +
+
+
+ + + + + Windy_Grid_World_RL +
+
+
+ + +
+
+
+ + + + + XgBoost_Algorithm +
+
+
+ + +
+
+
+ + + + + Youtube Comment Analysis +
+
+
+ + +
+
+
+ + + + + ensemble-methods-notebooks-master +
+
+
+ + +
+
+
+ + + + + face-recognition +
+
+
+ + +
+
+
+ + + + + heart failure +
+
+
+ + +
+
+
+ + + + + job_Advertisement_detection +
+
+
+ + +
+
+
+ + + + + logistic_regression_scratch +
+
+
+ + +
+
+
+ + + + + pytorch_tabular +
+
+
+ + +
+
+
+ + + + + recommendation_system +
+
+
+ + + + + + + + +
+
+ +